Overview

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Dataset statistics

Number of variables134
Number of observations26208
Missing cells528
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory27.8 MiB
Average record size in memory1.1 KiB

Variable types

DateTime1
Numeric113
Categorical19
Boolean1

Dataset

DescriptionSix-Month Monitoring Dataset from a 10-Turbine Onshore Wind Farm in Greece.
URLhttps://doi.org/10.5281/zenodo.14546479

Alerts

Gear Oil Temp. Avg. [°C] has constant value "999.0" Constant
Gear Bearing Temp. Avg. [°C] has constant value "999.0" Constant
Gear Oil TemperatureLevel2_3 Avg. [°C] has constant value "0.0" Constant
Ambient WindSpeed Estimated Avg. [m/s] has constant value "0.0" Constant
Grid Production PossibleInductive Avg. [var] has constant value "0.0" Constant
Grid Production PossibleInductive Max. [var] has constant value "0.0" Constant
Grid Production PossibleInductive Min. [var] has constant value "0.0" Constant
Grid Production PossibleInductive StdDev [var] has constant value "0.0" Constant
Grid Production PossibleCapacitive Avg. [var] has constant value "0.0" Constant
Grid Production PossibleCapacitive Max. [var] has constant value "0.0" Constant
Grid Production PossibleCapacitive Min. [var] has constant value "0.0" Constant
Grid Production PossibleCapacitive StdDev [var] has constant value "0.0" Constant
Reactive power set point [var] has constant value "0.0" Constant
Spinner Temp. SlipRing Avg. [°C] has constant value "999.0" Constant
HourCounters Average Total Avg. [h] has constant value "600.0" Constant
Active power generator 0, Total accumulated [W] is highly overall correlated with Active power generator 1, Total accumulated [W] and 25 other fieldsHigh correlation
Active power generator 1, Total accumulated [W] is highly overall correlated with Active power generator 0, Total accumulated [W] and 25 other fieldsHigh correlation
Active power generator 2, Total accumulated [W] is highly overall correlated with Active power generator 0, Total accumulated [W] and 25 other fieldsHigh correlation
Active power limit [W] is highly overall correlated with Active power limit source and 3 other fieldsHigh correlation
Active power limit source is highly overall correlated with Active power limit [W] and 4 other fieldsHigh correlation
Ambient Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 26 other fieldsHigh correlation
Ambient WindDir Absolute Avg. [°] is highly overall correlated with Avg. direction [°] and 1 other fieldsHigh correlation
Ambient WindDir Relative Avg. [°] is highly overall correlated with missing_dataHigh correlation
Ambient WindSpeed Avg. [m/s] is highly overall correlated with Ambient WindSpeed Max. [m/s] and 50 other fieldsHigh correlation
Ambient WindSpeed Max. [m/s] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 50 other fieldsHigh correlation
Ambient WindSpeed Min. [m/s] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 50 other fieldsHigh correlation
Ambient WindSpeed StdDev [m/s] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 48 other fieldsHigh correlation
Ambient ok hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 25 other fieldsHigh correlation
Avg. direction [°] is highly overall correlated with Ambient WindDir Absolute Avg. [°] and 1 other fieldsHigh correlation
Blades PitchAngle Avg. [°] is highly overall correlated with Blades PitchAngle Max. [°] and 7 other fieldsHigh correlation
Blades PitchAngle Max. [°] is highly overall correlated with Blades PitchAngle Avg. [°] and 11 other fieldsHigh correlation
Blades PitchAngle Min. [°] is highly overall correlated with Blades PitchAngle Avg. [°] and 8 other fieldsHigh correlation
Blades PitchAngle StdDev [°] is highly overall correlated with Ambient WindSpeed StdDev [m/s] and 3 other fieldsHigh correlation
Controller Ground Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 26 other fieldsHigh correlation
Controller Hub Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 25 other fieldsHigh correlation
Controller Top Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 32 other fieldsHigh correlation
Controller VCP ChokecoilTemp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 54 other fieldsHigh correlation
Controller VCP Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 46 other fieldsHigh correlation
Controller VCP WaterTemp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 53 other fieldsHigh correlation
First Alarm parameter 1 in 10 min frame is highly overall correlated with HourCounters Average AlarmActive Avg. [h] and 4 other fieldsHigh correlation
First Alarm parameter 2 in 10 min frame is highly overall correlated with missing_dataHigh correlation
Gear Bearing TemperatureHSGeneratorEnd Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 53 other fieldsHigh correlation
Gear Bearing TemperatureHSMiddle Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 53 other fieldsHigh correlation
Gear Bearing TemperatureHSRotorEnd Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 52 other fieldsHigh correlation
Gear Bearing TemperatureHollowShaftGenerator Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 53 other fieldsHigh correlation
Gear Bearing TemperatureHollowShaftRotor Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 51 other fieldsHigh correlation
Gear Oil TemperatureBasis Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 52 other fieldsHigh correlation
Gear Oil TemperatureLevel1 Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 41 other fieldsHigh correlation
Generator 1 hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 25 other fieldsHigh correlation
Generator 2 hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 25 other fieldsHigh correlation
Generator Bearing Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 51 other fieldsHigh correlation
Generator Bearing2 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 54 other fieldsHigh correlation
Generator CoolingWater Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 53 other fieldsHigh correlation
Generator Phase1 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 53 other fieldsHigh correlation
Generator Phase2 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 53 other fieldsHigh correlation
Generator Phase3 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 53 other fieldsHigh correlation
Generator RPM Avg. [RPM] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 50 other fieldsHigh correlation
Generator RPM Max. [RPM] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 51 other fieldsHigh correlation
Generator RPM Min. [RPM] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 50 other fieldsHigh correlation
Generator RPM StdDev [RPM] is highly overall correlated with Rotor RPM StdDev [RPM] and 1 other fieldsHigh correlation
Generator SlipRing Temp. Avg. [°C] is highly overall correlated with Ambient Temp. Avg. [°C] and 18 other fieldsHigh correlation
Grid Busbar Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 52 other fieldsHigh correlation
Grid InverterPhase1 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 54 other fieldsHigh correlation
Grid Production CosPhi Avg. is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 45 other fieldsHigh correlation
Grid Production CurrentPhase1 Avg. [A] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 49 other fieldsHigh correlation
Grid Production CurrentPhase2 Avg. [A] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 49 other fieldsHigh correlation
Grid Production CurrentPhase3 Avg. [A] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 49 other fieldsHigh correlation
Grid Production Frequency Avg. [Hz] is highly overall correlated with Ambient WindSpeed Min. [m/s] and 38 other fieldsHigh correlation
Grid Production PossiblePower Avg. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 50 other fieldsHigh correlation
Grid Production PossiblePower Max. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 51 other fieldsHigh correlation
Grid Production PossiblePower Min. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 48 other fieldsHigh correlation
Grid Production PossiblePower StdDev [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 50 other fieldsHigh correlation
Grid Production Power Avg. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 51 other fieldsHigh correlation
Grid Production Power Max. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 53 other fieldsHigh correlation
Grid Production Power Min. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 49 other fieldsHigh correlation
Grid Production Power StdDev [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 50 other fieldsHigh correlation
Grid Production ReactivePower Avg. [W] is highly overall correlated with Grid Production ReactivePower Max. [W] and 4 other fieldsHigh correlation
Grid Production ReactivePower Max. [W] is highly overall correlated with Ambient WindSpeed StdDev [m/s] and 12 other fieldsHigh correlation
Grid Production ReactivePower Min. [W] is highly overall correlated with Blades PitchAngle Avg. [°] and 6 other fieldsHigh correlation
Grid Production ReactivePower StdDev [W] is highly overall correlated with Blades PitchAngle Avg. [°] and 8 other fieldsHigh correlation
Grid Production VoltagePhase1 Avg. [V] is highly overall correlated with Grid Production VoltagePhase2 Avg. [V] and 2 other fieldsHigh correlation
Grid Production VoltagePhase2 Avg. [V] is highly overall correlated with Grid Production VoltagePhase1 Avg. [V] and 2 other fieldsHigh correlation
Grid Production VoltagePhase3 Avg. [V] is highly overall correlated with Grid Production VoltagePhase1 Avg. [V] and 2 other fieldsHigh correlation
Grid RotorInvPhase1 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 54 other fieldsHigh correlation
Grid RotorInvPhase2 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 54 other fieldsHigh correlation
Grid RotorInvPhase3 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 54 other fieldsHigh correlation
Grid ok hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 25 other fieldsHigh correlation
Grid on hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 25 other fieldsHigh correlation
HVTrafo AirOutlet Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 31 other fieldsHigh correlation
HVTrafo Phase1 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 53 other fieldsHigh correlation
HVTrafo Phase2 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 52 other fieldsHigh correlation
HVTrafo Phase3 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 53 other fieldsHigh correlation
HourCounters Average AlarmActive Avg. [h] is highly overall correlated with First Alarm parameter 1 in 10 min frame and 5 other fieldsHigh correlation
HourCounters Average AmbientOk Avg. [h] is highly overall correlated with First Alarm parameter 1 in 10 min frame and 6 other fieldsHigh correlation
HourCounters Average Gen1 Avg. [h] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 49 other fieldsHigh correlation
HourCounters Average Gen2 Avg. [h] is highly overall correlated with Grid Production ReactivePower StdDev [W] and 4 other fieldsHigh correlation
HourCounters Average GridOk Avg. [h] is highly overall correlated with HourCounters Average AmbientOk Avg. [h] and 3 other fieldsHigh correlation
HourCounters Average GridOn Avg. [h] is highly overall correlated with Active power limit source and 4 other fieldsHigh correlation
HourCounters Average Run Avg. [h] is highly overall correlated with First Alarm parameter 1 in 10 min frame and 5 other fieldsHigh correlation
HourCounters Average ServiceOn Avg. [h] is highly overall correlated with HourCounters Average AmbientOk Avg. [h] and 3 other fieldsHigh correlation
HourCounters Average TurbineOk Avg. [h] is highly overall correlated with HourCounters Average AlarmActive Avg. [h] and 5 other fieldsHigh correlation
HourCounters Average WindOk Avg. [h] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 51 other fieldsHigh correlation
HourCounters Average Yaw Avg. [h] is highly overall correlated with Grid Production ReactivePower Max. [W] and 1 other fieldsHigh correlation
Hydraulic Oil Temp. Avg. [°C] is highly overall correlated with Grid Production Frequency Avg. [Hz] and 1 other fieldsHigh correlation
Nacelle Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 38 other fieldsHigh correlation
Power factor set point is highly overall correlated with Active power limit [W] and 4 other fieldsHigh correlation
Power factor set point source is highly overall correlated with Active power limit [W] and 4 other fieldsHigh correlation
Production LatestAverage Active Power Gen 0 Avg. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 47 other fieldsHigh correlation
Production LatestAverage Active Power Gen 1 Avg. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 50 other fieldsHigh correlation
Production LatestAverage Active Power Gen 2 Avg. [W] is highly overall correlated with Grid Production ReactivePower StdDev [W] and 4 other fieldsHigh correlation
Production LatestAverage Reactive Power Gen 0 Avg. [var] is highly overall correlated with Blades PitchAngle Max. [°] and 8 other fieldsHigh correlation
Production LatestAverage Reactive Power Gen 1 Avg. [var] is highly overall correlated with Production LatestAverage Active Power Gen 1 Avg. [W] and 2 other fieldsHigh correlation
Production LatestAverage Reactive Power Gen 2 Avg. [var] is highly overall correlated with missing_dataHigh correlation
Production LatestAverage Total Active Power Avg. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 51 other fieldsHigh correlation
Production LatestAverage Total Reactive Power Avg. [var] is highly overall correlated with Blades PitchAngle StdDev [°] and 20 other fieldsHigh correlation
Reactive power generator 0,Total accumulated [var] is highly overall correlated with Active power generator 0, Total accumulated [W] and 25 other fieldsHigh correlation
Reactive power generator 1, Total accumulated [var] is highly overall correlated with Active power generator 0, Total accumulated [W] and 25 other fieldsHigh correlation
Reactive power generator 2, Total accumulated [var] is highly overall correlated with Active power generator 0, Total accumulated [W] and 25 other fieldsHigh correlation
Rotor RPM Avg. [RPM] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 51 other fieldsHigh correlation
Rotor RPM Max. [RPM] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 51 other fieldsHigh correlation
Rotor RPM Min. [RPM] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 50 other fieldsHigh correlation
Rotor RPM StdDev [RPM] is highly overall correlated with Generator RPM StdDev [RPM] and 1 other fieldsHigh correlation
Run hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 25 other fieldsHigh correlation
Service hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 25 other fieldsHigh correlation
Spinner Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 25 other fieldsHigh correlation
System Logs First Active Alarm No is highly overall correlated with First Alarm parameter 1 in 10 min frame and 5 other fieldsHigh correlation
Total Active power [W] is highly overall correlated with Active power generator 0, Total accumulated [W] and 25 other fieldsHigh correlation
Total hour counter [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 25 other fieldsHigh correlation
Total reactive power [var] is highly overall correlated with Active power generator 0, Total accumulated [W] and 25 other fieldsHigh correlation
Turbine ok hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 25 other fieldsHigh correlation
Wind ok hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 25 other fieldsHigh correlation
Yaw hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 25 other fieldsHigh correlation
missing_data is highly overall correlated with Active power generator 0, Total accumulated [W] and 116 other fieldsHigh correlation
Grid Production Frequency Avg. [Hz] is highly imbalanced (97.4%) Imbalance
Active power limit source is highly imbalanced (99.7%) Imbalance
Power factor set point is highly imbalanced (99.7%) Imbalance
Power factor set point source is highly imbalanced (99.7%) Imbalance
missing_data is highly imbalanced (99.8%) Imbalance
Generator RPM Min. [RPM] is highly skewed (γ1 = 37.66469528) Skewed
Rotor RPM Min. [RPM] is highly skewed (γ1 = 158.4481014) Skewed
Ambient WindSpeed Min. [m/s] is highly skewed (γ1 = 160.4969099) Skewed
Grid Production VoltagePhase1 Avg. [V] is highly skewed (γ1 = -30.24704953) Skewed
Grid Production VoltagePhase2 Avg. [V] is highly skewed (γ1 = -31.22874514) Skewed
Grid Production VoltagePhase3 Avg. [V] is highly skewed (γ1 = -28.72585557) Skewed
Active power limit [W] is highly skewed (γ1 = -38.93488467) Skewed
Blades PitchAngle Min. [°] is highly skewed (γ1 = -77.30707879) Skewed
Blades PitchAngle Max. [°] is highly skewed (γ1 = 89.93202484) Skewed
HourCounters Average GridOn Avg. [h] is highly skewed (γ1 = -93.95273595) Skewed
First Alarm parameter 2 in 10 min frame is highly skewed (γ1 = 56.70402253) Skewed
Total hour counter [h] is uniformly distributed Uniform
Grid on hours [h] is uniformly distributed Uniform
Grid ok hours [h] is uniformly distributed Uniform
Timestamp has unique values Unique
Generator RPM Max. [RPM] has 680 (2.6%) zeros Zeros
Generator RPM Min. [RPM] has 1642 (6.3%) zeros Zeros
Generator RPM Avg. [RPM] has 991 (3.8%) zeros Zeros
Generator RPM StdDev [RPM] has 975 (3.7%) zeros Zeros
Rotor RPM Max. [RPM] has 941 (3.6%) zeros Zeros
Rotor RPM Min. [RPM] has 1782 (6.8%) zeros Zeros
Rotor RPM Avg. [RPM] has 1361 (5.2%) zeros Zeros
Rotor RPM StdDev [RPM] has 7632 (29.1%) zeros Zeros
Grid Production ReactivePower Avg. [W] has 19504 (74.4%) zeros Zeros
Grid Production ReactivePower StdDev [W] has 11352 (43.3%) zeros Zeros
Grid Production PossiblePower Avg. [W] has 2792 (10.7%) zeros Zeros
Grid Production PossiblePower Max. [W] has 2729 (10.4%) zeros Zeros
Grid Production PossiblePower Min. [W] has 3243 (12.4%) zeros Zeros
Grid Production PossiblePower StdDev [W] has 3685 (14.1%) zeros Zeros
Blades PitchAngle Avg. [°] has 360 (1.4%) zeros Zeros
Blades PitchAngle StdDev [°] has 5398 (20.6%) zeros Zeros
HourCounters Average TurbineOk Avg. [h] has 332 (1.3%) zeros Zeros
HourCounters Average Run Avg. [h] has 580 (2.2%) zeros Zeros
HourCounters Average Gen1 Avg. [h] has 15080 (57.5%) zeros Zeros
HourCounters Average Gen2 Avg. [h] has 14465 (55.2%) zeros Zeros
HourCounters Average Yaw Avg. [h] has 11783 (45.0%) zeros Zeros
HourCounters Average ServiceOn Avg. [h] has 26088 (99.5%) zeros Zeros
HourCounters Average AmbientOk Avg. [h] has 319 (1.2%) zeros Zeros
HourCounters Average WindOk Avg. [h] has 5461 (20.8%) zeros Zeros
HourCounters Average AlarmActive Avg. [h] has 25487 (97.2%) zeros Zeros
Production LatestAverage Active Power Gen 0 Avg. [W] has 20175 (77.0%) zeros Zeros
Production LatestAverage Active Power Gen 1 Avg. [W] has 15043 (57.4%) zeros Zeros
Production LatestAverage Active Power Gen 2 Avg. [W] has 14395 (54.9%) zeros Zeros
Production LatestAverage Reactive Power Gen 0 Avg. [var] has 20190 (77.0%) zeros Zeros
Production LatestAverage Reactive Power Gen 1 Avg. [var] has 22462 (85.7%) zeros Zeros
Production LatestAverage Reactive Power Gen 2 Avg. [var] has 24006 (91.6%) zeros Zeros
Production LatestAverage Total Reactive Power Avg. [var] has 16208 (61.8%) zeros Zeros
System Logs First Active Alarm No has 25487 (97.2%) zeros Zeros
First Alarm parameter 1 in 10 min frame has 25719 (98.1%) zeros Zeros
First Alarm parameter 2 in 10 min frame has 26164 (99.8%) zeros Zeros

Reproduction

Analysis started2025-05-05 15:44:49.387642
Analysis finished2025-05-05 15:45:21.593220
Duration32.21 seconds
Software versionydata-profiling vv4.16.1
Download configurationconfig.json

Variables

Timestamp
Date

Unique 

Distinct26208
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 MiB
Minimum2020-01-01 00:00:00
Maximum2020-06-30 23:50:00
Invalid dates0
Invalid dates (%)0.0%
2025-05-05T17:45:21.632967image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-05T17:45:21.715608image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Generator RPM Max. [RPM]
Real number (ℝ)

High correlation  Zeros 

Distinct1237
Distinct (%)4.7%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1250.813
Minimum0
Maximum1895
Zeros680
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:21.799102image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile35
Q11064
median1424
Q31651
95-th percentile1740
Maximum1895
Range1895
Interquartile range (IQR)587

Descriptive statistics

Standard deviation521.65678
Coefficient of variation (CV)0.41705417
Kurtosis0.36347478
Mean1250.813
Median Absolute Deviation (MAD)248
Skewness-1.2230216
Sum32776304
Variance272125.79
MonotonicityNot monotonic
2025-05-05T17:45:21.878025image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 680
 
2.6%
1055 355
 
1.4%
1054 316
 
1.2%
1056 279
 
1.1%
1641 272
 
1.0%
1642 271
 
1.0%
1646 268
 
1.0%
1645 256
 
1.0%
1644 240
 
0.9%
1057 237
 
0.9%
Other values (1227) 23030
87.9%
ValueCountFrequency (%)
0 680
2.6%
1 103
 
0.4%
2 55
 
0.2%
3 42
 
0.2%
4 40
 
0.2%
5 17
 
0.1%
6 29
 
0.1%
7 24
 
0.1%
8 22
 
0.1%
9 21
 
0.1%
ValueCountFrequency (%)
1895 1
< 0.1%
1878 1
< 0.1%
1875 2
< 0.1%
1868 1
< 0.1%
1867 1
< 0.1%
1866 1
< 0.1%
1864 1
< 0.1%
1863 1
< 0.1%
1862 1
< 0.1%
1861 1
< 0.1%

Generator RPM Min. [RPM]
Real number (ℝ)

High correlation  Skewed  Zeros 

Distinct1106
Distinct (%)4.2%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1034.5928
Minimum0
Maximum65535
Zeros1642
Zeros (%)6.3%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:21.957654image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11018
median1045
Q31444.25
95-th percentile1617
Maximum65535
Range65535
Interquartile range (IQR)426.25

Descriptive statistics

Standard deviation645.35707
Coefficient of variation (CV)0.62377883
Kurtosis3806.9119
Mean1034.5928
Median Absolute Deviation (MAD)284
Skewness37.664695
Sum27110469
Variance416485.74
MonotonicityNot monotonic
2025-05-05T17:45:22.036283image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1642
 
6.3%
1044 546
 
2.1%
1043 545
 
2.1%
1042 523
 
2.0%
1041 467
 
1.8%
1040 426
 
1.6%
1039 415
 
1.6%
1038 381
 
1.5%
1037 334
 
1.3%
1036 324
 
1.2%
Other values (1096) 20601
78.6%
ValueCountFrequency (%)
0 1642
6.3%
1 60
 
0.2%
2 48
 
0.2%
3 20
 
0.1%
4 17
 
0.1%
5 9
 
< 0.1%
6 12
 
< 0.1%
7 8
 
< 0.1%
8 7
 
< 0.1%
9 6
 
< 0.1%
ValueCountFrequency (%)
65535 1
 
< 0.1%
1638 8
 
< 0.1%
1637 40
0.2%
1636 21
0.1%
1635 38
0.1%
1634 34
0.1%
1633 39
0.1%
1632 47
0.2%
1631 48
0.2%
1630 42
0.2%

Generator RPM Avg. [RPM]
Real number (ℝ)

High correlation  Zeros 

Distinct1490
Distinct (%)5.7%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1143.9984
Minimum0
Maximum1647
Zeros991
Zeros (%)3.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:22.111080image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q11049
median1209
Q31620
95-th percentile1641
Maximum1647
Range1647
Interquartile range (IQR)571

Descriptive statistics

Standard deviation512.04089
Coefficient of variation (CV)0.44758881
Kurtosis-0.033171948
Mean1143.9984
Median Absolute Deviation (MAD)341
Skewness-1.0276251
Sum29977335
Variance262185.88
MonotonicityNot monotonic
2025-05-05T17:45:22.189284image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1049 2807
 
10.7%
1639 2661
 
10.2%
0 991
 
3.8%
1638 511
 
1.9%
1050 472
 
1.8%
1640 469
 
1.8%
1641 392
 
1.5%
1642 348
 
1.3%
1643 298
 
1.1%
1637 257
 
1.0%
Other values (1480) 16998
64.9%
ValueCountFrequency (%)
0 991
3.8%
1 84
 
0.3%
2 62
 
0.2%
3 59
 
0.2%
4 49
 
0.2%
5 35
 
0.1%
6 21
 
0.1%
7 21
 
0.1%
8 17
 
0.1%
9 18
 
0.1%
ValueCountFrequency (%)
1647 12
 
< 0.1%
1646 42
 
0.2%
1645 127
 
0.5%
1644 210
 
0.8%
1643 298
 
1.1%
1642 348
 
1.3%
1641 392
 
1.5%
1640 469
 
1.8%
1639 2661
10.2%
1638 511
 
1.9%

Generator RPM StdDev [RPM]
Real number (ℝ)

High correlation  Zeros 

Distinct510
Distinct (%)1.9%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean53.608991
Minimum0
Maximum767
Zeros975
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:22.265835image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median28
Q370
95-th percentile171.85
Maximum767
Range767
Interquartile range (IQR)62

Descriptive statistics

Standard deviation78.188824
Coefficient of variation (CV)1.4585021
Kurtosis17.818917
Mean53.608991
Median Absolute Deviation (MAD)24
Skewness3.5578436
Sum1404770
Variance6113.4922
MonotonicityNot monotonic
2025-05-05T17:45:22.345869image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 1235
 
4.7%
0 975
 
3.7%
3 802
 
3.1%
4 772
 
2.9%
5 733
 
2.8%
6 706
 
2.7%
7 666
 
2.5%
1 636
 
2.4%
9 562
 
2.1%
8 562
 
2.1%
Other values (500) 18555
70.8%
ValueCountFrequency (%)
0 975
3.7%
1 636
2.4%
2 1235
4.7%
3 802
3.1%
4 772
2.9%
5 733
2.8%
6 706
2.7%
7 666
2.5%
8 562
2.1%
9 562
2.1%
ValueCountFrequency (%)
767 1
 
< 0.1%
766 1
 
< 0.1%
754 1
 
< 0.1%
752 3
< 0.1%
751 3
< 0.1%
750 2
< 0.1%
749 3
< 0.1%
748 1
 
< 0.1%
747 1
 
< 0.1%
739 1
 
< 0.1%

Generator Bearing Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct61
Distinct (%)0.2%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean44.991414
Minimum0
Maximum81
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:22.425364image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile28
Q132
median40
Q357
95-th percentile71
Maximum81
Range81
Interquartile range (IQR)25

Descriptive statistics

Standard deviation14.497579
Coefficient of variation (CV)0.3222299
Kurtosis-0.95792944
Mean44.991414
Median Absolute Deviation (MAD)9
Skewness0.5974569
Sum1178955
Variance210.17979
MonotonicityNot monotonic
2025-05-05T17:45:22.505934image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30 1625
 
6.2%
31 1457
 
5.6%
32 1244
 
4.7%
34 1060
 
4.0%
38 955
 
3.6%
36 939
 
3.6%
33 910
 
3.5%
37 872
 
3.3%
35 800
 
3.1%
29 773
 
2.9%
Other values (51) 15569
59.4%
ValueCountFrequency (%)
0 1
 
< 0.1%
22 3
 
< 0.1%
23 7
 
< 0.1%
24 146
 
0.6%
25 207
 
0.8%
26 232
 
0.9%
27 325
 
1.2%
28 541
 
2.1%
29 773
2.9%
30 1625
6.2%
ValueCountFrequency (%)
81 2
 
< 0.1%
80 26
 
0.1%
79 14
 
0.1%
78 18
 
0.1%
77 18
 
0.1%
76 115
 
0.4%
75 237
0.9%
74 320
1.2%
73 284
1.1%
72 257
1.0%

Generator Phase1 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct93
Distinct (%)0.4%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean50.676538
Minimum0
Maximum108
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:22.587592image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile28
Q137
median44
Q361
95-th percentile96
Maximum108
Range108
Interquartile range (IQR)24

Descriptive statistics

Standard deviation19.907718
Coefficient of variation (CV)0.39283895
Kurtosis0.19696656
Mean50.676538
Median Absolute Deviation (MAD)11
Skewness1.0030642
Sum1327928
Variance396.31723
MonotonicityNot monotonic
2025-05-05T17:45:22.665566image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
38 1206
 
4.6%
37 1114
 
4.3%
28 1026
 
3.9%
39 960
 
3.7%
36 913
 
3.5%
40 905
 
3.5%
27 786
 
3.0%
41 759
 
2.9%
42 725
 
2.8%
29 692
 
2.6%
Other values (83) 17118
65.3%
ValueCountFrequency (%)
0 1
 
< 0.1%
17 3
 
< 0.1%
18 6
 
< 0.1%
19 4
 
< 0.1%
20 3
 
< 0.1%
21 15
 
0.1%
22 12
 
< 0.1%
23 14
 
0.1%
24 33
 
0.1%
25 87
0.3%
ValueCountFrequency (%)
108 11
 
< 0.1%
107 15
 
0.1%
106 21
 
0.1%
105 26
 
0.1%
104 20
 
0.1%
103 51
 
0.2%
102 183
0.7%
101 211
0.8%
100 235
0.9%
99 151
0.6%

Generator Phase2 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct95
Distinct (%)0.4%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean52.190009
Minimum0
Maximum111
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:22.741604image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile28
Q138
median45
Q363
95-th percentile98
Maximum111
Range111
Interquartile range (IQR)25

Descriptive statistics

Standard deviation20.574138
Coefficient of variation (CV)0.39421603
Kurtosis0.093547216
Mean52.190009
Median Absolute Deviation (MAD)12
Skewness0.95648641
Sum1367587
Variance423.29515
MonotonicityNot monotonic
2025-05-05T17:45:22.819530image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
38 1193
 
4.6%
40 1049
 
4.0%
39 1038
 
4.0%
28 938
 
3.6%
42 859
 
3.3%
41 813
 
3.1%
29 750
 
2.9%
37 705
 
2.7%
43 636
 
2.4%
44 628
 
2.4%
Other values (85) 17595
67.1%
ValueCountFrequency (%)
0 1
 
< 0.1%
18 7
 
< 0.1%
19 4
 
< 0.1%
20 3
 
< 0.1%
21 6
 
< 0.1%
22 16
 
0.1%
23 15
 
0.1%
24 30
 
0.1%
25 54
 
0.2%
26 186
0.7%
ValueCountFrequency (%)
111 12
 
< 0.1%
110 10
 
< 0.1%
109 20
 
0.1%
108 20
 
0.1%
107 22
 
0.1%
106 17
 
0.1%
105 98
 
0.4%
104 231
0.9%
103 249
1.0%
102 163
0.6%

Generator Phase3 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct93
Distinct (%)0.4%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean51.39826
Minimum0
Maximum108
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:22.898700image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile28
Q137
median45
Q362
95-th percentile96
Maximum108
Range108
Interquartile range (IQR)25

Descriptive statistics

Standard deviation20.047762
Coefficient of variation (CV)0.39004748
Kurtosis0.12361472
Mean51.39826
Median Absolute Deviation (MAD)11
Skewness0.96543817
Sum1346840
Variance401.91275
MonotonicityNot monotonic
2025-05-05T17:45:22.975880image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
38 1267
 
4.8%
40 1016
 
3.9%
39 982
 
3.7%
28 933
 
3.6%
37 932
 
3.6%
42 779
 
3.0%
41 775
 
3.0%
29 736
 
2.8%
27 713
 
2.7%
43 653
 
2.5%
Other values (83) 17418
66.5%
ValueCountFrequency (%)
0 1
 
< 0.1%
17 1
 
< 0.1%
18 7
 
< 0.1%
19 4
 
< 0.1%
20 2
 
< 0.1%
21 10
 
< 0.1%
22 15
 
0.1%
23 15
 
0.1%
24 30
0.1%
25 65
0.2%
ValueCountFrequency (%)
108 18
 
0.1%
107 19
 
0.1%
106 22
 
0.1%
105 24
 
0.1%
104 23
 
0.1%
103 149
0.6%
102 183
0.7%
101 260
1.0%
100 178
0.7%
99 130
0.5%

Generator SlipRing Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct33
Distinct (%)0.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean24.910472
Minimum0
Maximum41
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:23.045859image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile19
Q122
median24
Q327
95-th percentile33
Maximum41
Range41
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.2310929
Coefficient of variation (CV)0.16985198
Kurtosis0.10987894
Mean24.910472
Median Absolute Deviation (MAD)3
Skewness0.66577823
Sum652754
Variance17.902147
MonotonicityNot monotonic
2025-05-05T17:45:23.108791image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
23 2745
10.5%
21 2646
10.1%
22 2568
9.8%
24 2443
9.3%
25 2271
8.7%
27 2060
 
7.9%
20 1907
 
7.3%
26 1723
 
6.6%
28 1158
 
4.4%
19 1085
 
4.1%
Other values (23) 5598
21.4%
ValueCountFrequency (%)
0 1
 
< 0.1%
10 2
 
< 0.1%
11 4
 
< 0.1%
12 2
 
< 0.1%
13 13
 
< 0.1%
14 10
 
< 0.1%
15 6
 
< 0.1%
16 14
 
0.1%
17 61
 
0.2%
18 357
1.4%
ValueCountFrequency (%)
41 3
 
< 0.1%
40 15
 
0.1%
39 42
 
0.2%
38 60
 
0.2%
37 102
 
0.4%
36 173
 
0.7%
35 257
 
1.0%
34 288
 
1.1%
33 501
1.9%
32 904
3.4%

Generator Bearing2 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct60
Distinct (%)0.2%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean45.257136
Minimum0
Maximum83
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:23.179119image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile31
Q138
median44
Q352
95-th percentile63
Maximum83
Range83
Interquartile range (IQR)14

Descriptive statistics

Standard deviation9.6820764
Coefficient of variation (CV)0.2139348
Kurtosis-0.49982027
Mean45.257136
Median Absolute Deviation (MAD)7
Skewness0.33447926
Sum1185918
Variance93.742603
MonotonicityNot monotonic
2025-05-05T17:45:23.254779image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36 1165
 
4.4%
42 1074
 
4.1%
40 1065
 
4.1%
48 993
 
3.8%
41 992
 
3.8%
38 991
 
3.8%
39 988
 
3.8%
44 939
 
3.6%
46 933
 
3.6%
35 931
 
3.6%
Other values (50) 16133
61.6%
ValueCountFrequency (%)
0 1
 
< 0.1%
24 32
 
0.1%
25 51
 
0.2%
26 105
 
0.4%
27 143
 
0.5%
28 230
0.9%
29 197
 
0.8%
30 364
1.4%
31 433
1.7%
32 493
1.9%
ValueCountFrequency (%)
83 1
 
< 0.1%
81 1
 
< 0.1%
80 2
 
< 0.1%
79 1
 
< 0.1%
78 1
 
< 0.1%
77 1
 
< 0.1%
76 2
 
< 0.1%
75 2
 
< 0.1%
74 6
 
< 0.1%
73 22
0.1%

Generator CoolingWater Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct34
Distinct (%)0.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean32.609678
Minimum0
Maximum49
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:23.322416image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile28
Q129
median32
Q335
95-th percentile41
Maximum49
Range49
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.4553349
Coefficient of variation (CV)0.13662615
Kurtosis0.28353852
Mean32.609678
Median Absolute Deviation (MAD)3
Skewness0.7052382
Sum854504
Variance19.850009
MonotonicityNot monotonic
2025-05-05T17:45:23.390819image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
28 4563
17.4%
29 4124
15.7%
34 3540
13.5%
35 3231
12.3%
30 1770
 
6.8%
36 1119
 
4.3%
32 1002
 
3.8%
31 988
 
3.8%
40 980
 
3.7%
33 974
 
3.7%
Other values (24) 3913
14.9%
ValueCountFrequency (%)
0 1
 
< 0.1%
17 3
 
< 0.1%
18 8
 
< 0.1%
19 6
 
< 0.1%
20 6
 
< 0.1%
21 15
 
0.1%
22 17
 
0.1%
23 42
0.2%
24 47
0.2%
25 64
0.2%
ValueCountFrequency (%)
49 11
 
< 0.1%
48 69
 
0.3%
47 70
 
0.3%
46 104
 
0.4%
45 48
 
0.2%
44 58
 
0.2%
43 111
 
0.4%
42 525
2.0%
41 827
3.2%
40 980
3.7%

Hydraulic Oil Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct24
Distinct (%)0.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean49.336399
Minimum0
Maximum56
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:23.449913image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile44
Q147
median49
Q352
95-th percentile54
Maximum56
Range56
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.2024733
Coefficient of variation (CV)0.064910965
Kurtosis1.3910466
Mean49.336399
Median Absolute Deviation (MAD)3
Skewness-0.42768833
Sum1292811
Variance10.255835
MonotonicityNot monotonic
2025-05-05T17:45:23.508029image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
53 3580
13.7%
52 3054
11.7%
48 2724
10.4%
45 2431
9.3%
47 2246
8.6%
50 2202
8.4%
49 2183
8.3%
51 2130
8.1%
46 2079
7.9%
54 2048
7.8%
Other values (14) 1527
5.8%
ValueCountFrequency (%)
0 1
 
< 0.1%
34 1
 
< 0.1%
35 9
 
< 0.1%
36 12
 
< 0.1%
37 7
 
< 0.1%
38 10
 
< 0.1%
39 12
 
< 0.1%
40 16
 
0.1%
41 25
 
0.1%
42 74
0.3%
ValueCountFrequency (%)
56 7
 
< 0.1%
55 43
 
0.2%
54 2048
7.8%
53 3580
13.7%
52 3054
11.7%
51 2130
8.1%
50 2202
8.4%
49 2183
8.3%
48 2724
10.4%
47 2246
8.6%

Gear Oil Temp. Avg. [°C]
Categorical

Constant 

Distinct1
Distinct (%)< 0.1%
Missing4
Missing (%)< 0.1%
Memory size2.6 MiB
999.0
26204 

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters131020
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row999.0
2nd row999.0
3rd row999.0
4th row999.0
5th row999.0

Common Values

ValueCountFrequency (%)
999.0 26204
> 99.9%
(Missing) 4
 
< 0.1%

Length

2025-05-05T17:45:23.568840image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:45:23.603006image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
999.0 26204
100.0%

Most occurring characters

ValueCountFrequency (%)
9 78612
60.0%
. 26204
 
20.0%
0 26204
 
20.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 131020
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
9 78612
60.0%
. 26204
 
20.0%
0 26204
 
20.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 131020
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
9 78612
60.0%
. 26204
 
20.0%
0 26204
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 131020
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
9 78612
60.0%
. 26204
 
20.0%
0 26204
 
20.0%

Gear Bearing Temp. Avg. [°C]
Categorical

Constant 

Distinct1
Distinct (%)< 0.1%
Missing4
Missing (%)< 0.1%
Memory size2.6 MiB
999.0
26204 

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters131020
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row999.0
2nd row999.0
3rd row999.0
4th row999.0
5th row999.0

Common Values

ValueCountFrequency (%)
999.0 26204
> 99.9%
(Missing) 4
 
< 0.1%

Length

2025-05-05T17:45:23.642057image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:45:23.674721image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
999.0 26204
100.0%

Most occurring characters

ValueCountFrequency (%)
9 78612
60.0%
. 26204
 
20.0%
0 26204
 
20.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 131020
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
9 78612
60.0%
. 26204
 
20.0%
0 26204
 
20.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 131020
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
9 78612
60.0%
. 26204
 
20.0%
0 26204
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 131020
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
9 78612
60.0%
. 26204
 
20.0%
0 26204
 
20.0%

Gear Oil TemperatureBasis Avg. [°C]
Real number (ℝ)

High correlation 

Distinct34
Distinct (%)0.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean58.385704
Minimum0
Maximum70
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:23.716385image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile46
Q155
median58
Q364
95-th percentile69
Maximum70
Range70
Interquartile range (IQR)9

Descriptive statistics

Standard deviation6.8745212
Coefficient of variation (CV)0.11774323
Kurtosis-0.34698799
Mean58.385704
Median Absolute Deviation (MAD)5
Skewness-0.36080603
Sum1529939
Variance47.259042
MonotonicityNot monotonic
2025-05-05T17:45:23.781831image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
55 2836
 
10.8%
56 2187
 
8.3%
65 1354
 
5.2%
66 1338
 
5.1%
57 1285
 
4.9%
63 1217
 
4.6%
64 1205
 
4.6%
54 1175
 
4.5%
67 1164
 
4.4%
68 1048
 
4.0%
Other values (24) 11395
43.5%
ValueCountFrequency (%)
0 1
 
< 0.1%
38 3
 
< 0.1%
39 5
 
< 0.1%
40 6
 
< 0.1%
41 145
 
0.6%
42 277
1.1%
43 194
0.7%
44 229
0.9%
45 389
1.5%
46 368
1.4%
ValueCountFrequency (%)
70 356
 
1.4%
69 996
3.8%
68 1048
4.0%
67 1164
4.4%
66 1338
5.1%
65 1354
5.2%
64 1205
4.6%
63 1217
4.6%
62 987
3.8%
61 1021
3.9%

Gear Oil TemperatureLevel1 Avg. [°C]
Real number (ℝ)

High correlation 

Distinct21
Distinct (%)0.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean48.69497
Minimum0
Maximum56
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:23.840112image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile44
Q149
median49
Q349
95-th percentile51
Maximum56
Range56
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.933135
Coefficient of variation (CV)0.039698864
Kurtosis23.898215
Mean48.69497
Median Absolute Deviation (MAD)0
Skewness-3.1638491
Sum1276003
Variance3.7370109
MonotonicityNot monotonic
2025-05-05T17:45:23.894312image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
49 18568
70.8%
50 1836
 
7.0%
51 1726
 
6.6%
48 789
 
3.0%
47 529
 
2.0%
46 498
 
1.9%
52 430
 
1.6%
44 427
 
1.6%
45 398
 
1.5%
42 260
 
1.0%
Other values (11) 743
 
2.8%
ValueCountFrequency (%)
0 1
 
< 0.1%
36 3
 
< 0.1%
37 26
 
0.1%
38 37
 
0.1%
39 30
 
0.1%
40 148
 
0.6%
41 247
0.9%
42 260
1.0%
43 228
0.9%
44 427
1.6%
ValueCountFrequency (%)
56 1
 
< 0.1%
54 5
 
< 0.1%
53 17
 
0.1%
52 430
 
1.6%
51 1726
 
6.6%
50 1836
 
7.0%
49 18568
70.8%
48 789
 
3.0%
47 529
 
2.0%
46 498
 
1.9%
Distinct1
Distinct (%)< 0.1%
Missing4
Missing (%)< 0.1%
Memory size2.5 MiB
0.0
26204 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78612
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26204
> 99.9%
(Missing) 4
 
< 0.1%

Length

2025-05-05T17:45:23.951802image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:45:23.984643image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26204
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52408
66.7%
. 26204
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78612
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52408
66.7%
. 26204
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78612
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52408
66.7%
. 26204
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78612
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52408
66.7%
. 26204
33.3%

Gear Bearing TemperatureHSRotorEnd Avg. [°C]
Real number (ℝ)

High correlation 

Distinct39
Distinct (%)0.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean61.587544
Minimum0
Maximum76
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:24.028635image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile45
Q155
median61
Q371
95-th percentile75
Maximum76
Range76
Interquartile range (IQR)16

Descriptive statistics

Standard deviation9.7959337
Coefficient of variation (CV)0.15905706
Kurtosis-1.002997
Mean61.587544
Median Absolute Deviation (MAD)8
Skewness-0.25298897
Sum1613840
Variance95.960317
MonotonicityNot monotonic
2025-05-05T17:45:24.100982image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
74 1671
 
6.4%
73 1667
 
6.4%
75 1616
 
6.2%
55 1252
 
4.8%
56 1234
 
4.7%
72 1211
 
4.6%
57 1055
 
4.0%
54 970
 
3.7%
71 958
 
3.7%
58 948
 
3.6%
Other values (29) 13622
52.0%
ValueCountFrequency (%)
0 1
 
< 0.1%
39 42
 
0.2%
40 177
 
0.7%
41 187
0.7%
42 235
0.9%
43 208
0.8%
44 396
1.5%
45 322
1.2%
46 457
1.7%
47 439
1.7%
ValueCountFrequency (%)
76 149
 
0.6%
75 1616
6.2%
74 1671
6.4%
73 1667
6.4%
72 1211
4.6%
71 958
3.7%
70 790
3.0%
69 728
2.8%
68 643
 
2.5%
67 623
 
2.4%

Gear Bearing TemperatureHSGeneratorEnd Avg. [°C]
Real number (ℝ)

High correlation 

Distinct41
Distinct (%)0.2%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean60.633682
Minimum0
Maximum78
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:24.175885image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile44
Q155
median59
Q369
95-th percentile76
Maximum78
Range78
Interquartile range (IQR)14

Descriptive statistics

Standard deviation9.6518029
Coefficient of variation (CV)0.1591822
Kurtosis-0.78382713
Mean60.633682
Median Absolute Deviation (MAD)7
Skewness-0.067220184
Sum1588845
Variance93.157299
MonotonicityNot monotonic
2025-05-05T17:45:24.251164image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
56 1741
 
6.6%
55 1494
 
5.7%
57 1293
 
4.9%
58 1144
 
4.4%
76 1019
 
3.9%
54 992
 
3.8%
59 943
 
3.6%
72 853
 
3.3%
71 765
 
2.9%
60 758
 
2.9%
Other values (31) 15202
58.0%
ValueCountFrequency (%)
0 1
 
< 0.1%
39 79
 
0.3%
40 247
0.9%
41 221
0.8%
42 230
0.9%
43 255
1.0%
44 396
1.5%
45 354
1.4%
46 417
1.6%
47 412
1.6%
ValueCountFrequency (%)
78 254
 
1.0%
77 535
2.0%
76 1019
3.9%
75 617
2.4%
74 614
2.3%
73 753
2.9%
72 853
3.3%
71 765
2.9%
70 696
2.7%
69 678
2.6%

Gear Bearing TemperatureHSMiddle Avg. [°C]
Real number (ℝ)

High correlation 

Distinct41
Distinct (%)0.2%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean60.010685
Minimum0
Maximum78
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:24.324947image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile45
Q155
median58
Q367
95-th percentile76
Maximum78
Range78
Interquartile range (IQR)12

Descriptive statistics

Standard deviation9.064768
Coefficient of variation (CV)0.15105257
Kurtosis-0.54877547
Mean60.010685
Median Absolute Deviation (MAD)6
Skewness0.14486157
Sum1572520
Variance82.170019
MonotonicityNot monotonic
2025-05-05T17:45:24.397463image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
56 3090
 
11.8%
55 2696
 
10.3%
57 1300
 
5.0%
58 1020
 
3.9%
76 987
 
3.8%
59 907
 
3.5%
60 824
 
3.1%
61 803
 
3.1%
63 705
 
2.7%
62 693
 
2.6%
Other values (31) 13179
50.3%
ValueCountFrequency (%)
0 1
 
< 0.1%
39 41
 
0.2%
40 151
 
0.6%
41 172
0.7%
42 253
1.0%
43 208
0.8%
44 325
1.2%
45 320
1.2%
46 384
1.5%
47 347
1.3%
ValueCountFrequency (%)
78 261
 
1.0%
77 468
1.8%
76 987
3.8%
75 568
2.2%
74 543
2.1%
73 536
2.0%
72 564
2.2%
71 560
2.1%
70 558
2.1%
69 548
2.1%

Gear Bearing TemperatureHollowShaftRotor Avg. [°C]
Real number (ℝ)

High correlation 

Distinct36
Distinct (%)0.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean64.721569
Minimum0
Maximum73
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:25.034055image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile47
Q165
median67
Q370
95-th percentile71
Maximum73
Range73
Interquartile range (IQR)5

Descriptive statistics

Standard deviation7.6888966
Coefficient of variation (CV)0.1187996
Kurtosis1.6834232
Mean64.721569
Median Absolute Deviation (MAD)3
Skewness-1.621001
Sum1695964
Variance59.11913
MonotonicityNot monotonic
2025-05-05T17:45:25.104219image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
70 4678
17.8%
66 3815
14.6%
65 3079
11.7%
71 2691
10.3%
69 1989
 
7.6%
67 1566
 
6.0%
68 1490
 
5.7%
72 1104
 
4.2%
52 376
 
1.4%
64 375
 
1.4%
Other values (26) 5041
19.2%
ValueCountFrequency (%)
0 1
 
< 0.1%
39 36
 
0.1%
40 78
 
0.3%
41 111
 
0.4%
42 166
0.6%
43 174
0.7%
44 206
0.8%
45 227
0.9%
46 270
1.0%
47 302
1.2%
ValueCountFrequency (%)
73 45
 
0.2%
72 1104
 
4.2%
71 2691
10.3%
70 4678
17.8%
69 1989
7.6%
68 1490
 
5.7%
67 1566
 
6.0%
66 3815
14.6%
65 3079
11.7%
64 375
 
1.4%
Distinct44
Distinct (%)0.2%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean64.986033
Minimum0
Maximum79
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:25.179054image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile45
Q163
median65
Q372
95-th percentile77
Maximum79
Range79
Interquartile range (IQR)9

Descriptive statistics

Standard deviation9.5778722
Coefficient of variation (CV)0.14738355
Kurtosis0.34217894
Mean64.986033
Median Absolute Deviation (MAD)6
Skewness-0.9196627
Sum1702894
Variance91.735637
MonotonicityNot monotonic
2025-05-05T17:45:25.256026image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
64 5252
20.0%
65 1680
 
6.4%
77 1216
 
4.6%
74 1141
 
4.4%
76 1051
 
4.0%
75 1041
 
4.0%
66 1032
 
3.9%
72 961
 
3.7%
67 951
 
3.6%
73 926
 
3.5%
Other values (34) 10953
41.8%
ValueCountFrequency (%)
0 1
 
< 0.1%
37 32
 
0.1%
38 81
 
0.3%
39 114
 
0.4%
40 145
0.6%
41 178
0.7%
42 217
0.8%
43 203
0.8%
44 300
1.1%
45 324
1.2%
ValueCountFrequency (%)
79 153
 
0.6%
78 910
3.5%
77 1216
4.6%
76 1051
4.0%
75 1041
4.0%
74 1141
4.4%
73 926
3.5%
72 961
3.7%
71 829
3.2%
70 737
2.8%

Nacelle Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct32
Distinct (%)0.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean27.487368
Minimum-50
Maximum43
Zeros1
Zeros (%)< 0.1%
Negative4
Negative (%)< 0.1%
Memory size1.4 MiB
2025-05-05T17:45:25.326512image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-50
5-th percentile24
Q124
median26
Q330
95-th percentile35
Maximum43
Range93
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.0375334
Coefficient of variation (CV)0.14688687
Kurtosis13.847071
Mean27.487368
Median Absolute Deviation (MAD)2
Skewness0.12702563
Sum720279
Variance16.301676
MonotonicityNot monotonic
2025-05-05T17:45:25.391005image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
24 7786
29.7%
25 3245
12.4%
28 2075
 
7.9%
27 1955
 
7.5%
26 1917
 
7.3%
34 1604
 
6.1%
29 1331
 
5.1%
30 1279
 
4.9%
31 1104
 
4.2%
32 947
 
3.6%
Other values (22) 2961
 
11.3%
ValueCountFrequency (%)
-50 2
 
< 0.1%
-35 1
 
< 0.1%
-26 1
 
< 0.1%
0 1
 
< 0.1%
5 1
 
< 0.1%
17 10
 
< 0.1%
18 19
0.1%
19 42
0.2%
20 17
0.1%
21 20
0.1%
ValueCountFrequency (%)
43 9
 
< 0.1%
42 26
 
0.1%
41 66
 
0.3%
40 114
 
0.4%
39 130
 
0.5%
38 114
 
0.4%
37 151
 
0.6%
36 151
 
0.6%
35 682
2.6%
34 1604
6.1%

Avg. direction [°]
Real number (ℝ)

High correlation 

Distinct3448
Distinct (%)13.2%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean202.58898
Minimum0
Maximum359.9
Zeros78
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:25.462342image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile28.815
Q1103.8
median205.9
Q3312.4
95-th percentile344
Maximum359.9
Range359.9
Interquartile range (IQR)208.6

Descriptive statistics

Standard deviation108.3333
Coefficient of variation (CV)0.53474428
Kurtosis-1.3939007
Mean202.58898
Median Absolute Deviation (MAD)104.3
Skewness-0.1586514
Sum5308641.7
Variance11736.104
MonotonicityNot monotonic
2025-05-05T17:45:25.540990image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
229.2 119
 
0.5%
342 112
 
0.4%
305.6 103
 
0.4%
335.8 90
 
0.3%
0 78
 
0.3%
313 76
 
0.3%
341 75
 
0.3%
333 73
 
0.3%
147 69
 
0.3%
346.2 65
 
0.2%
Other values (3438) 25344
96.7%
ValueCountFrequency (%)
0 78
0.3%
0.2 17
 
0.1%
0.6 4
 
< 0.1%
0.8 1
 
< 0.1%
0.9 7
 
< 0.1%
1 1
 
< 0.1%
1.3 16
 
0.1%
1.5 2
 
< 0.1%
1.6 26
 
0.1%
2 2
 
< 0.1%
ValueCountFrequency (%)
359.9 8
< 0.1%
359.5 17
0.1%
359.3 1
 
< 0.1%
359.2 4
 
< 0.1%
358.8 17
0.1%
358.4 7
 
< 0.1%
358.1 1
 
< 0.1%
358 13
< 0.1%
357.8 18
0.1%
357.6 1
 
< 0.1%

Rotor RPM Max. [RPM]
Real number (ℝ)

High correlation  Zeros 

Distinct158
Distinct (%)0.6%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean11.94315
Minimum0
Maximum18.1
Zeros941
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:25.620497image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3
Q110.2
median13.6
Q315.8
95-th percentile16.6
Maximum18.1
Range18.1
Interquartile range (IQR)5.6

Descriptive statistics

Standard deviation4.9810967
Coefficient of variation (CV)0.41706725
Kurtosis0.36725374
Mean11.94315
Median Absolute Deviation (MAD)2.4
Skewness-1.2253935
Sum312958.3
Variance24.811324
MonotonicityNot monotonic
2025-05-05T17:45:25.700594image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15.7 2315
 
8.8%
10.1 2180
 
8.3%
15.8 2045
 
7.8%
15.9 1468
 
5.6%
10.2 1129
 
4.3%
0 941
 
3.6%
16 814
 
3.1%
15.6 625
 
2.4%
10.3 452
 
1.7%
16.1 349
 
1.3%
Other values (148) 13886
53.0%
ValueCountFrequency (%)
0 941
3.6%
0.1 189
 
0.7%
0.2 121
 
0.5%
0.3 64
 
0.2%
0.4 44
 
0.2%
0.5 33
 
0.1%
0.6 40
 
0.2%
0.7 42
 
0.2%
0.8 41
 
0.2%
0.9 45
 
0.2%
ValueCountFrequency (%)
18.1 1
 
< 0.1%
17.9 3
 
< 0.1%
17.8 7
 
< 0.1%
17.7 8
 
< 0.1%
17.6 14
 
0.1%
17.5 22
 
0.1%
17.4 31
 
0.1%
17.3 50
0.2%
17.2 86
0.3%
17.1 97
0.4%

Rotor RPM Min. [RPM]
Real number (ℝ)

High correlation  Skewed  Zeros 

Distinct137
Distinct (%)0.5%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean10.104095
Minimum0
Maximum6553.5
Zeros1782
Zeros (%)6.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:25.780405image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19.7
median10
Q313.8
95-th percentile15.4
Maximum6553.5
Range6553.5
Interquartile range (IQR)4.1

Descriptive statistics

Standard deviation40.713017
Coefficient of variation (CV)4.0293582
Kurtosis25466.949
Mean10.104095
Median Absolute Deviation (MAD)2.7
Skewness158.4481
Sum264767.7
Variance1657.5498
MonotonicityNot monotonic
2025-05-05T17:45:25.857108image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.9 3573
 
13.6%
10 2317
 
8.8%
0 1782
 
6.8%
9.8 1264
 
4.8%
15.4 942
 
3.6%
15.5 799
 
3.0%
11.9 678
 
2.6%
15.3 661
 
2.5%
15.2 505
 
1.9%
12 483
 
1.8%
Other values (127) 13200
50.4%
ValueCountFrequency (%)
0 1782
6.8%
0.1 84
 
0.3%
0.2 68
 
0.3%
0.3 68
 
0.3%
0.4 94
 
0.4%
0.5 88
 
0.3%
0.6 86
 
0.3%
0.7 111
 
0.4%
0.8 110
 
0.4%
0.9 97
 
0.4%
ValueCountFrequency (%)
6553.5 1
 
< 0.1%
15.6 380
1.4%
15.5 799
3.0%
15.4 942
3.6%
15.3 661
2.5%
15.2 505
1.9%
15.1 438
1.7%
15 408
1.6%
14.9 376
 
1.4%
14.8 330
 
1.3%

Rotor RPM Avg. [RPM]
Real number (ℝ)

High correlation  Zeros 

Distinct158
Distinct (%)0.6%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean10.878435
Minimum0
Maximum15.7
Zeros1361
Zeros (%)5.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:25.934466image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110
median11.5
Q315.4
95-th percentile15.6
Maximum15.7
Range15.7
Interquartile range (IQR)5.4

Descriptive statistics

Standard deviation4.8821964
Coefficient of variation (CV)0.44879586
Kurtosis-0.032927936
Mean10.878435
Median Absolute Deviation (MAD)3.3
Skewness-1.028762
Sum285058.5
Variance23.835842
MonotonicityNot monotonic
2025-05-05T17:45:26.015801image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15.6 5682
21.7%
10 4352
 
16.6%
0 1361
 
5.2%
15.5 697
 
2.7%
10.1 605
 
2.3%
10.2 405
 
1.5%
15.4 380
 
1.4%
15.3 327
 
1.2%
10.3 314
 
1.2%
10.4 287
 
1.1%
Other values (148) 11794
45.0%
ValueCountFrequency (%)
0 1361
5.2%
0.1 88
 
0.3%
0.2 70
 
0.3%
0.3 43
 
0.2%
0.4 60
 
0.2%
0.5 58
 
0.2%
0.6 64
 
0.2%
0.7 52
 
0.2%
0.8 50
 
0.2%
0.9 47
 
0.2%
ValueCountFrequency (%)
15.7 60
 
0.2%
15.6 5682
21.7%
15.5 697
 
2.7%
15.4 380
 
1.4%
15.3 327
 
1.2%
15.2 259
 
1.0%
15.1 219
 
0.8%
15 209
 
0.8%
14.9 211
 
0.8%
14.8 201
 
0.8%

Rotor RPM StdDev [RPM]
Real number (ℝ)

High correlation  Zeros 

Distinct73
Distinct (%)0.3%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.47127156
Minimum0
Maximum7.3
Zeros7632
Zeros (%)29.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:26.096151image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.2
Q30.6
95-th percentile1.6
Maximum7.3
Range7.3
Interquartile range (IQR)0.6

Descriptive statistics

Standard deviation0.74437614
Coefficient of variation (CV)1.5795057
Kurtosis17.966508
Mean0.47127156
Median Absolute Deviation (MAD)0.2
Skewness3.5763654
Sum12349.2
Variance0.55409584
MonotonicityNot monotonic
2025-05-05T17:45:26.173340image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7632
29.1%
0.1 3518
13.4%
0.2 2648
 
10.1%
0.3 2143
 
8.2%
0.4 1537
 
5.9%
0.5 1300
 
5.0%
0.6 1111
 
4.2%
0.7 992
 
3.8%
0.8 892
 
3.4%
0.9 795
 
3.0%
Other values (63) 3636
13.9%
ValueCountFrequency (%)
0 7632
29.1%
0.1 3518
13.4%
0.2 2648
 
10.1%
0.3 2143
 
8.2%
0.4 1537
 
5.9%
0.5 1300
 
5.0%
0.6 1111
 
4.2%
0.7 992
 
3.8%
0.8 892
 
3.4%
0.9 795
 
3.0%
ValueCountFrequency (%)
7.3 2
 
< 0.1%
7.2 1
 
< 0.1%
7.1 13
< 0.1%
7 4
 
< 0.1%
6.9 6
< 0.1%
6.8 9
< 0.1%
6.7 4
 
< 0.1%
6.6 3
 
< 0.1%
6.5 1
 
< 0.1%
6.4 4
 
< 0.1%

Ambient WindSpeed Max. [m/s]
Real number (ℝ)

High correlation 

Distinct375
Distinct (%)1.4%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean10.417696
Minimum0
Maximum41.2
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:26.252183image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.3
Q16
median9
Q313.5
95-th percentile22.1
Maximum41.2
Range41.2
Interquartile range (IQR)7.5

Descriptive statistics

Standard deviation6.0576756
Coefficient of variation (CV)0.58147941
Kurtosis1.5078395
Mean10.417696
Median Absolute Deviation (MAD)3.5
Skewness1.1976366
Sum272985.3
Variance36.695434
MonotonicityNot monotonic
2025-05-05T17:45:26.326545image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 255
 
1.0%
7.4 251
 
1.0%
7.7 247
 
0.9%
8 242
 
0.9%
8.2 242
 
0.9%
7.5 241
 
0.9%
3.8 239
 
0.9%
9.6 238
 
0.9%
7.8 237
 
0.9%
6.9 237
 
0.9%
Other values (365) 23775
90.7%
ValueCountFrequency (%)
0 1
 
< 0.1%
0.7 1
 
< 0.1%
0.8 1
 
< 0.1%
0.9 2
 
< 0.1%
1 1
 
< 0.1%
1.1 4
 
< 0.1%
1.2 6
 
< 0.1%
1.3 18
0.1%
1.4 16
0.1%
1.5 19
0.1%
ValueCountFrequency (%)
41.2 1
< 0.1%
39.8 1
< 0.1%
39.7 1
< 0.1%
39.6 1
< 0.1%
39.5 1
< 0.1%
39.4 1
< 0.1%
39.1 1
< 0.1%
38.8 1
< 0.1%
38.5 1
< 0.1%
38.3 1
< 0.1%

Ambient WindSpeed Min. [m/s]
Real number (ℝ)

High correlation  Skewed 

Distinct185
Distinct (%)0.7%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean4.8260113
Minimum0
Maximum6553.5
Zeros10
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:26.399358image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.7
Q12.2
median4
Q36.4
95-th percentile10.3
Maximum6553.5
Range6553.5
Interquartile range (IQR)4.2

Descriptive statistics

Standard deviation40.571911
Coefficient of variation (CV)8.4069242
Kurtosis25906.56
Mean4.8260113
Median Absolute Deviation (MAD)2
Skewness160.49691
Sum126460.8
Variance1646.08
MonotonicityNot monotonic
2025-05-05T17:45:26.476032image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.9 421
 
1.6%
3.8 418
 
1.6%
1.4 417
 
1.6%
3.7 411
 
1.6%
3.5 404
 
1.5%
3.6 401
 
1.5%
1.5 399
 
1.5%
1.3 392
 
1.5%
1.1 390
 
1.5%
3.4 386
 
1.5%
Other values (175) 22165
84.6%
ValueCountFrequency (%)
0 10
 
< 0.1%
0.3 347
1.3%
0.4 287
1.1%
0.5 242
0.9%
0.6 267
1.0%
0.7 284
1.1%
0.8 313
1.2%
0.9 342
1.3%
1 362
1.4%
1.1 390
1.5%
ValueCountFrequency (%)
6553.5 1
 
< 0.1%
20.8 1
 
< 0.1%
20.5 1
 
< 0.1%
18.7 1
 
< 0.1%
18.3 1
 
< 0.1%
18.2 1
 
< 0.1%
18.1 1
 
< 0.1%
18 3
< 0.1%
17.9 1
 
< 0.1%
17.7 2
< 0.1%

Ambient WindSpeed Avg. [m/s]
Real number (ℝ)

High correlation 

Distinct287
Distinct (%)1.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean7.399855
Minimum0
Maximum33.3
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:26.689298image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median6.4
Q39.5
95-th percentile16.5
Maximum33.3
Range33.3
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation4.6020999
Coefficient of variation (CV)0.62191758
Kurtosis1.8961738
Mean7.399855
Median Absolute Deviation (MAD)2.6
Skewness1.2835787
Sum193905.8
Variance21.179324
MonotonicityNot monotonic
2025-05-05T17:45:26.765338image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.9 346
 
1.3%
3.8 315
 
1.2%
4.6 308
 
1.2%
4 307
 
1.2%
4.1 306
 
1.2%
3 304
 
1.2%
4.2 299
 
1.1%
3.7 298
 
1.1%
2.9 298
 
1.1%
4.7 297
 
1.1%
Other values (277) 23126
88.2%
ValueCountFrequency (%)
0 1
 
< 0.1%
0.4 1
 
< 0.1%
0.5 8
 
< 0.1%
0.6 18
 
0.1%
0.7 23
 
0.1%
0.8 35
0.1%
0.9 50
0.2%
1 73
0.3%
1.1 61
0.2%
1.2 77
0.3%
ValueCountFrequency (%)
33.3 1
< 0.1%
32.2 1
< 0.1%
31.6 1
< 0.1%
31.3 1
< 0.1%
31.1 1
< 0.1%
30.7 1
< 0.1%
30.5 1
< 0.1%
30.2 1
< 0.1%
29.2 1
< 0.1%
28.9 1
< 0.1%

Ambient WindSpeed StdDev [m/s]
Real number (ℝ)

High correlation 

Distinct50
Distinct (%)0.2%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.90516715
Minimum0
Maximum5.6
Zeros32
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:26.839673image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2
Q10.5
median0.7
Q31.2
95-th percentile2.1
Maximum5.6
Range5.6
Interquartile range (IQR)0.7

Descriptive statistics

Standard deviation0.61720057
Coefficient of variation (CV)0.68186365
Kurtosis2.8062689
Mean0.90516715
Median Absolute Deviation (MAD)0.3
Skewness1.4503767
Sum23719
Variance0.38093655
MonotonicityNot monotonic
2025-05-05T17:45:26.915301image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.4 2772
 
10.6%
0.5 2740
 
10.5%
0.6 2461
 
9.4%
0.7 2062
 
7.9%
0.3 1736
 
6.6%
0.8 1703
 
6.5%
0.9 1468
 
5.6%
1 1313
 
5.0%
0.2 1230
 
4.7%
1.1 1158
 
4.4%
Other values (40) 7561
28.8%
ValueCountFrequency (%)
0 32
 
0.1%
0.1 506
 
1.9%
0.2 1230
4.7%
0.3 1736
6.6%
0.4 2772
10.6%
0.5 2740
10.5%
0.6 2461
9.4%
0.7 2062
7.9%
0.8 1703
6.5%
0.9 1468
5.6%
ValueCountFrequency (%)
5.6 1
 
< 0.1%
5.3 1
 
< 0.1%
4.9 2
< 0.1%
4.8 1
 
< 0.1%
4.6 1
 
< 0.1%
4.4 2
< 0.1%
4.3 4
< 0.1%
4.2 4
< 0.1%
4.1 2
< 0.1%
4 4
< 0.1%

Ambient WindDir Relative Avg. [°]
Real number (ℝ)

High correlation 

Distinct1757
Distinct (%)6.7%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-3.4837697
Minimum-179.8
Maximum179.8
Zeros136
Zeros (%)0.5%
Negative22794
Negative (%)87.0%
Memory size1.4 MiB
2025-05-05T17:45:26.990173image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-179.8
5-th percentile-18.2
Q1-4.9
median-3.2
Q3-1.5
95-th percentile8.2
Maximum179.8
Range359.6
Interquartile range (IQR)3.4

Descriptive statistics

Standard deviation22.832873
Coefficient of variation (CV)-6.5540709
Kurtosis26.203218
Mean-3.4837697
Median Absolute Deviation (MAD)1.7
Skewness-0.045245128
Sum-91288.7
Variance521.34011
MonotonicityNot monotonic
2025-05-05T17:45:27.064439image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-3.2 486
 
1.9%
-3.1 466
 
1.8%
-3.3 460
 
1.8%
-2.9 448
 
1.7%
-2.8 443
 
1.7%
-3.4 442
 
1.7%
-3.5 435
 
1.7%
-2.7 432
 
1.6%
-2.5 430
 
1.6%
-3.9 427
 
1.6%
Other values (1747) 21735
82.9%
ValueCountFrequency (%)
-179.8 1
< 0.1%
-179.3 1
< 0.1%
-178.7 1
< 0.1%
-178 1
< 0.1%
-177.7 1
< 0.1%
-177.5 1
< 0.1%
-176.9 1
< 0.1%
-175.4 1
< 0.1%
-175.3 1
< 0.1%
-175.2 1
< 0.1%
ValueCountFrequency (%)
179.8 1
< 0.1%
179.1 1
< 0.1%
178.8 1
< 0.1%
178.2 1
< 0.1%
177.6 1
< 0.1%
177 1
< 0.1%
175.9 1
< 0.1%
175.8 1
< 0.1%
175.7 1
< 0.1%
175.4 1
< 0.1%

Ambient WindDir Absolute Avg. [°]
Real number (ℝ)

High correlation 

Distinct3568
Distinct (%)13.6%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean201.76805
Minimum0
Maximum359.9
Zeros8
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:27.140992image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile26.3
Q1101.4
median204.1
Q3311.8
95-th percentile344.2
Maximum359.9
Range359.9
Interquartile range (IQR)210.4

Descriptive statistics

Standard deviation109.11939
Coefficient of variation (CV)0.540816
Kurtosis-1.4038219
Mean201.76805
Median Absolute Deviation (MAD)105.5
Skewness-0.16135953
Sum5287130.1
Variance11907.042
MonotonicityNot monotonic
2025-05-05T17:45:27.221135image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
321.5 32
 
0.1%
331.2 30
 
0.1%
318.7 30
 
0.1%
330.4 29
 
0.1%
328.5 28
 
0.1%
323.7 27
 
0.1%
334.2 27
 
0.1%
313.1 26
 
0.1%
329.3 26
 
0.1%
322 26
 
0.1%
Other values (3558) 25923
98.9%
ValueCountFrequency (%)
0 8
< 0.1%
0.1 4
< 0.1%
0.2 8
< 0.1%
0.3 6
< 0.1%
0.4 5
< 0.1%
0.5 6
< 0.1%
0.6 4
< 0.1%
0.7 6
< 0.1%
0.8 2
 
< 0.1%
0.9 3
 
< 0.1%
ValueCountFrequency (%)
359.9 5
< 0.1%
359.8 6
< 0.1%
359.7 6
< 0.1%
359.6 7
< 0.1%
359.5 5
< 0.1%
359.4 5
< 0.1%
359.3 5
< 0.1%
359.2 7
< 0.1%
359.1 4
< 0.1%
359 9
< 0.1%

Ambient Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct32
Distinct (%)0.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean11.24584
Minimum0
Maximum31
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:27.292072image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q17
median10
Q314
95-th percentile23
Maximum31
Range31
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.5472295
Coefficient of variation (CV)0.49326945
Kurtosis0.70577092
Mean11.24584
Median Absolute Deviation (MAD)3
Skewness1.0447621
Sum294686
Variance30.771755
MonotonicityNot monotonic
2025-05-05T17:45:27.358043image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
7 2948
11.2%
8 2522
 
9.6%
6 2441
 
9.3%
9 2182
 
8.3%
10 1696
 
6.5%
13 1552
 
5.9%
5 1492
 
5.7%
11 1460
 
5.6%
12 1433
 
5.5%
14 1204
 
4.6%
Other values (22) 7274
27.8%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 14
 
0.1%
2 44
 
0.2%
3 223
 
0.9%
4 740
 
2.8%
5 1492
5.7%
6 2441
9.3%
7 2948
11.2%
8 2522
9.6%
9 2182
8.3%
ValueCountFrequency (%)
31 1
 
< 0.1%
30 67
 
0.3%
29 87
 
0.3%
28 178
0.7%
27 157
0.6%
26 222
0.8%
25 231
0.9%
24 188
0.7%
23 213
0.8%
22 186
0.7%
Distinct1
Distinct (%)< 0.1%
Missing4
Missing (%)< 0.1%
Memory size2.5 MiB
0.0
26204 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78612
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26204
> 99.9%
(Missing) 4
 
< 0.1%

Length

2025-05-05T17:45:27.421354image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:45:27.455480image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26204
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52408
66.7%
. 26204
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78612
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52408
66.7%
. 26204
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78612
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52408
66.7%
. 26204
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78612
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52408
66.7%
. 26204
33.3%

Grid InverterPhase1 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct30
Distinct (%)0.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean36.727141
Minimum0
Maximum57
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:27.493123image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile29
Q132
median36
Q340
95-th percentile50
Maximum57
Range57
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.9435483
Coefficient of variation (CV)0.16182987
Kurtosis0.3115418
Mean36.727141
Median Absolute Deviation (MAD)4
Skewness0.88859369
Sum962398
Variance35.325766
MonotonicityNot monotonic
2025-05-05T17:45:27.553106image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
34 2085
 
8.0%
38 1983
 
7.6%
30 1972
 
7.5%
33 1971
 
7.5%
31 1850
 
7.1%
32 1769
 
6.7%
37 1714
 
6.5%
29 1680
 
6.4%
39 1586
 
6.1%
35 1477
 
5.6%
Other values (20) 8117
31.0%
ValueCountFrequency (%)
0 1
 
< 0.1%
29 1680
6.4%
30 1972
7.5%
31 1850
7.1%
32 1769
6.7%
33 1971
7.5%
34 2085
8.0%
35 1477
5.6%
36 1401
5.3%
37 1714
6.5%
ValueCountFrequency (%)
57 11
 
< 0.1%
56 53
 
0.2%
55 59
 
0.2%
54 69
 
0.3%
53 46
 
0.2%
52 86
 
0.3%
51 470
1.8%
50 540
2.1%
49 539
2.1%
48 317
1.2%

Grid RotorInvPhase1 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct31
Distinct (%)0.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean38.097046
Minimum0
Maximum58
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:27.613414image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile31
Q133
median37
Q341
95-th percentile51
Maximum58
Range58
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.1973369
Coefficient of variation (CV)0.16267237
Kurtosis0.079342856
Mean38.097046
Median Absolute Deviation (MAD)4
Skewness0.85631694
Sum998295
Variance38.406984
MonotonicityNot monotonic
2025-05-05T17:45:27.677401image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
32 2891
 
11.0%
33 2756
 
10.5%
34 2017
 
7.7%
40 1757
 
6.7%
31 1696
 
6.5%
41 1441
 
5.5%
35 1435
 
5.5%
39 1421
 
5.4%
38 1268
 
4.8%
37 1148
 
4.4%
Other values (21) 8374
32.0%
ValueCountFrequency (%)
0 1
 
< 0.1%
29 182
 
0.7%
30 539
 
2.1%
31 1696
6.5%
32 2891
11.0%
33 2756
10.5%
34 2017
7.7%
35 1435
5.5%
36 1143
 
4.4%
37 1148
 
4.4%
ValueCountFrequency (%)
58 51
 
0.2%
57 46
 
0.2%
56 75
 
0.3%
55 56
 
0.2%
54 49
 
0.2%
53 307
1.2%
52 523
2.0%
51 639
2.4%
50 368
1.4%
49 273
1.0%

Grid RotorInvPhase2 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct27
Distinct (%)0.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean36.107999
Minimum0
Maximum54
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:27.739616image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30
Q132
median35
Q339
95-th percentile47
Maximum54
Range54
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.340372
Coefficient of variation (CV)0.14789997
Kurtosis0.19156926
Mean36.107999
Median Absolute Deviation (MAD)4
Skewness0.87349914
Sum946174
Variance28.519573
MonotonicityNot monotonic
2025-05-05T17:45:27.801857image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
31 3835
14.6%
32 3497
13.3%
38 2087
 
8.0%
37 1802
 
6.9%
30 1745
 
6.7%
39 1712
 
6.5%
33 1541
 
5.9%
36 1334
 
5.1%
40 1169
 
4.5%
34 1142
 
4.4%
Other values (17) 6340
24.2%
ValueCountFrequency (%)
0 1
 
< 0.1%
29 572
 
2.2%
30 1745
6.7%
31 3835
14.6%
32 3497
13.3%
33 1541
5.9%
34 1142
 
4.4%
35 1122
 
4.3%
36 1334
 
5.1%
37 1802
6.9%
ValueCountFrequency (%)
54 57
 
0.2%
53 48
 
0.2%
52 88
 
0.3%
51 55
 
0.2%
50 45
 
0.2%
49 310
1.2%
48 544
2.1%
47 673
2.6%
46 402
1.5%
45 354
1.4%

Grid RotorInvPhase3 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct26
Distinct (%)0.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean35.434399
Minimum0
Maximum53
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:27.862871image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30
Q131
median35
Q338
95-th percentile46
Maximum53
Range53
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.1466908
Coefficient of variation (CV)0.14524561
Kurtosis0.15646713
Mean35.434399
Median Absolute Deviation (MAD)4
Skewness0.85817476
Sum928523
Variance26.488426
MonotonicityNot monotonic
2025-05-05T17:45:27.924366image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
31 4276
16.3%
30 3008
11.5%
32 2333
 
8.9%
37 2125
 
8.1%
38 2033
 
7.8%
36 1573
 
6.0%
39 1404
 
5.4%
33 1217
 
4.6%
35 1195
 
4.6%
29 1122
 
4.3%
Other values (16) 5918
22.6%
ValueCountFrequency (%)
0 1
 
< 0.1%
29 1122
 
4.3%
30 3008
11.5%
31 4276
16.3%
32 2333
8.9%
33 1217
 
4.6%
34 1112
 
4.2%
35 1195
 
4.6%
36 1573
 
6.0%
37 2125
8.1%
ValueCountFrequency (%)
53 42
 
0.2%
52 46
 
0.2%
51 88
 
0.3%
50 61
 
0.2%
49 47
 
0.2%
48 204
 
0.8%
47 553
2.1%
46 664
2.5%
45 509
1.9%
44 379
1.4%

Grid Production Power Avg. [W]
Real number (ℝ)

High correlation 

Distinct13021
Distinct (%)49.7%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean788.63352
Minimum-19.6
Maximum3000.9
Zeros7
Zeros (%)< 0.1%
Negative4578
Negative (%)17.5%
Memory size1.4 MiB
2025-05-05T17:45:27.995091image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-19.6
5-th percentile-11.9
Q172.275
median390.2
Q31236.225
95-th percentile2908.54
Maximum3000.9
Range3020.5
Interquartile range (IQR)1163.95

Descriptive statistics

Standard deviation917.93052
Coefficient of variation (CV)1.1639507
Kurtosis0.11130878
Mean788.63352
Median Absolute Deviation (MAD)399.1
Skewness1.1666789
Sum20665353
Variance842596.44
MonotonicityNot monotonic
2025-05-05T17:45:28.071303image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-11 239
 
0.9%
-11.2 212
 
0.8%
-11.4 195
 
0.7%
-11.1 193
 
0.7%
-11.3 190
 
0.7%
-11.5 172
 
0.7%
-11.7 172
 
0.7%
-10.9 170
 
0.6%
-11.6 155
 
0.6%
-11.8 146
 
0.6%
Other values (13011) 24360
92.9%
ValueCountFrequency (%)
-19.6 2
 
< 0.1%
-19.4 1
 
< 0.1%
-18.1 1
 
< 0.1%
-17.8 2
 
< 0.1%
-17.5 1
 
< 0.1%
-17.4 1
 
< 0.1%
-17.2 2
 
< 0.1%
-17.1 1
 
< 0.1%
-17 6
< 0.1%
-16.9 2
 
< 0.1%
ValueCountFrequency (%)
3000.9 3
 
< 0.1%
3000.7 2
 
< 0.1%
3000.6 10
 
< 0.1%
3000.5 32
0.1%
3000.4 75
0.3%
3000.3 73
0.3%
3000.2 37
0.1%
3000.1 23
 
0.1%
3000 18
 
0.1%
2999.9 15
 
0.1%

Grid Production CosPhi Avg.
Real number (ℝ)

High correlation 

Distinct11
Distinct (%)< 0.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.91637918
Minimum0
Maximum1
Zeros71
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:28.132259image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.6
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.17630828
Coefficient of variation (CV)0.19239665
Kurtosis6.3521181
Mean0.91637918
Median Absolute Deviation (MAD)0
Skewness-2.443907
Sum24012.8
Variance0.031084611
MonotonicityNot monotonic
2025-05-05T17:45:28.182822image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 20078
76.6%
0.7 3522
 
13.4%
0.6 557
 
2.1%
0.9 511
 
1.9%
0.8 445
 
1.7%
0.3 292
 
1.1%
0.4 249
 
1.0%
0.2 170
 
0.6%
0.5 168
 
0.6%
0.1 141
 
0.5%
ValueCountFrequency (%)
0 71
 
0.3%
0.1 141
 
0.5%
0.2 170
 
0.6%
0.3 292
 
1.1%
0.4 249
 
1.0%
0.5 168
 
0.6%
0.6 557
 
2.1%
0.7 3522
13.4%
0.8 445
 
1.7%
0.9 511
 
1.9%
ValueCountFrequency (%)
1 20078
76.6%
0.9 511
 
1.9%
0.8 445
 
1.7%
0.7 3522
 
13.4%
0.6 557
 
2.1%
0.5 168
 
0.6%
0.4 249
 
1.0%
0.3 292
 
1.1%
0.2 170
 
0.6%
0.1 141
 
0.5%

Grid Production Frequency Avg. [Hz]
Categorical

High correlation  Imbalance 

Distinct4
Distinct (%)< 0.1%
Missing4
Missing (%)< 0.1%
Memory size2.5 MiB
50.0
26052 
49.9
 
147
50.1
 
4
0.0
 
1

Length

Max length4
Median length4
Mean length3.9999618
Min length3

Characters and Unicode

Total characters104815
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row50.0
2nd row50.0
3rd row50.0
4th row50.0
5th row50.0

Common Values

ValueCountFrequency (%)
50.0 26052
99.4%
49.9 147
 
0.6%
50.1 4
 
< 0.1%
0.0 1
 
< 0.1%
(Missing) 4
 
< 0.1%

Length

2025-05-05T17:45:28.374614image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:45:28.415588image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
50.0 26052
99.4%
49.9 147
 
0.6%
50.1 4
 
< 0.1%
0.0 1
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 52110
49.7%
. 26204
25.0%
5 26056
24.9%
9 294
 
0.3%
4 147
 
0.1%
1 4
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 104815
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52110
49.7%
. 26204
25.0%
5 26056
24.9%
9 294
 
0.3%
4 147
 
0.1%
1 4
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 104815
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52110
49.7%
. 26204
25.0%
5 26056
24.9%
9 294
 
0.3%
4 147
 
0.1%
1 4
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 104815
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52110
49.7%
. 26204
25.0%
5 26056
24.9%
9 294
 
0.3%
4 147
 
0.1%
1 4
 
< 0.1%

Grid Production VoltagePhase1 Avg. [V]
Real number (ℝ)

High correlation  Skewed 

Distinct387
Distinct (%)1.5%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean576.31266
Minimum0
Maximum603.2
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:28.474064image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile567.4
Q1571.9
median576.2
Q3580
95-th percentile586.6
Maximum603.2
Range603.2
Interquartile range (IQR)8.1

Descriptive statistics

Standard deviation7.824333
Coefficient of variation (CV)0.013576542
Kurtosis2245.5911
Mean576.31266
Median Absolute Deviation (MAD)4.1
Skewness-30.24705
Sum15101697
Variance61.220187
MonotonicityNot monotonic
2025-05-05T17:45:28.553142image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
577 209
 
0.8%
578.1 201
 
0.8%
574.9 199
 
0.8%
576.4 193
 
0.7%
578.4 190
 
0.7%
577.2 187
 
0.7%
576.1 187
 
0.7%
577.7 186
 
0.7%
577.4 184
 
0.7%
577.1 184
 
0.7%
Other values (377) 24284
92.7%
ValueCountFrequency (%)
0 2
 
< 0.1%
509.8 1
 
< 0.1%
563.3 2
 
< 0.1%
563.6 3
< 0.1%
563.9 4
< 0.1%
564 4
< 0.1%
564.1 4
< 0.1%
564.2 6
< 0.1%
564.3 7
< 0.1%
564.4 4
< 0.1%
ValueCountFrequency (%)
603.2 1
 
< 0.1%
603.1 1
 
< 0.1%
602.9 3
< 0.1%
602.7 3
< 0.1%
602.6 3
< 0.1%
602.5 2
< 0.1%
602.4 1
 
< 0.1%
602.3 1
 
< 0.1%
602.2 2
< 0.1%
602.1 1
 
< 0.1%

Grid Production VoltagePhase2 Avg. [V]
Real number (ℝ)

High correlation  Skewed 

Distinct397
Distinct (%)1.5%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean575.32384
Minimum0
Maximum602.2
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:28.632039image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile566.6
Q1571
median575.1
Q3579.1
95-th percentile585.4
Maximum602.2
Range602.2
Interquartile range (IQR)8.1

Descriptive statistics

Standard deviation7.7308052
Coefficient of variation (CV)0.013437311
Kurtosis2340.1066
Mean575.32384
Median Absolute Deviation (MAD)4
Skewness-31.228745
Sum15075786
Variance59.765349
MonotonicityNot monotonic
2025-05-05T17:45:28.711419image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
575.2 199
 
0.8%
574 196
 
0.7%
574.8 189
 
0.7%
576.2 185
 
0.7%
575.8 185
 
0.7%
575 183
 
0.7%
576.8 182
 
0.7%
576 182
 
0.7%
576.1 181
 
0.7%
575.6 180
 
0.7%
Other values (387) 24342
92.9%
ValueCountFrequency (%)
0 2
 
< 0.1%
509.7 1
 
< 0.1%
561.1 1
 
< 0.1%
561.4 1
 
< 0.1%
561.5 1
 
< 0.1%
561.7 1
 
< 0.1%
561.8 1
 
< 0.1%
561.9 2
 
< 0.1%
562 2
 
< 0.1%
562.2 5
< 0.1%
ValueCountFrequency (%)
602.2 2
< 0.1%
601.8 1
 
< 0.1%
601.5 2
< 0.1%
601.2 1
 
< 0.1%
601.1 1
 
< 0.1%
601 1
 
< 0.1%
600.9 4
< 0.1%
600.8 3
< 0.1%
600.7 1
 
< 0.1%
600.6 1
 
< 0.1%

Grid Production VoltagePhase3 Avg. [V]
Real number (ℝ)

High correlation  Skewed 

Distinct417
Distinct (%)1.6%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean573.30647
Minimum0
Maximum601
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:28.791016image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile564.1
Q1568.9
median573.2
Q3577.3
95-th percentile583.8
Maximum601
Range601
Interquartile range (IQR)8.4

Descriptive statistics

Standard deviation7.9209444
Coefficient of variation (CV)0.013816248
Kurtosis2093.6135
Mean573.30647
Median Absolute Deviation (MAD)4.2
Skewness-28.725856
Sum15022923
Variance62.741359
MonotonicityNot monotonic
2025-05-05T17:45:28.870355image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
573.9 191
 
0.7%
574.9 182
 
0.7%
573.6 180
 
0.7%
575.6 178
 
0.7%
570.5 178
 
0.7%
574.1 178
 
0.7%
573.4 178
 
0.7%
572.7 177
 
0.7%
574.3 177
 
0.7%
574.2 176
 
0.7%
Other values (407) 24409
93.1%
ValueCountFrequency (%)
0 2
< 0.1%
507.8 1
< 0.1%
556.6 2
< 0.1%
557.4 2
< 0.1%
557.6 1
< 0.1%
557.8 1
< 0.1%
557.9 1
< 0.1%
558 1
< 0.1%
558.2 2
< 0.1%
558.5 1
< 0.1%
ValueCountFrequency (%)
601 1
 
< 0.1%
600.9 1
 
< 0.1%
600.6 1
 
< 0.1%
600.5 1
 
< 0.1%
600.2 3
< 0.1%
599.9 1
 
< 0.1%
599.6 1
 
< 0.1%
599.5 1
 
< 0.1%
599.3 2
< 0.1%
599.2 1
 
< 0.1%

Grid Production CurrentPhase1 Avg. [A]
Real number (ℝ)

High correlation 

Distinct10144
Distinct (%)38.7%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean451.44862
Minimum0
Maximum1757
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:28.948859image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9.6
Q139.1
median219.6
Q3698.8
95-th percentile1670.8
Maximum1757
Range1757
Interquartile range (IQR)659.7

Descriptive statistics

Standard deviation524.21211
Coefficient of variation (CV)1.1611778
Kurtosis0.18876214
Mean451.44862
Median Absolute Deviation (MAD)207.4
Skewness1.2024432
Sum11829760
Variance274798.34
MonotonicityNot monotonic
2025-05-05T17:45:29.028140image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.7 499
 
1.9%
9.8 399
 
1.5%
9.6 229
 
0.9%
9.9 178
 
0.7%
1 174
 
0.7%
8.7 133
 
0.5%
10.6 116
 
0.4%
10.7 114
 
0.4%
8.8 110
 
0.4%
10 93
 
0.4%
Other values (10134) 24159
92.2%
ValueCountFrequency (%)
0 2
 
< 0.1%
1 174
0.7%
1.2 1
 
< 0.1%
1.3 2
 
< 0.1%
1.4 1
 
< 0.1%
1.5 2
 
< 0.1%
1.6 1
 
< 0.1%
1.7 3
 
< 0.1%
1.8 2
 
< 0.1%
1.9 6
 
< 0.1%
ValueCountFrequency (%)
1757 1
 
< 0.1%
1755.1 1
 
< 0.1%
1754.8 1
 
< 0.1%
1754.1 1
 
< 0.1%
1752.2 1
 
< 0.1%
1751.3 2
< 0.1%
1750.8 1
 
< 0.1%
1750.5 3
< 0.1%
1750.3 1
 
< 0.1%
1750.1 1
 
< 0.1%

Grid Production CurrentPhase2 Avg. [A]
Real number (ℝ)

High correlation 

Distinct10250
Distinct (%)39.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean463.50409
Minimum0
Maximum1798.3
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:29.107531image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9.515
Q141.2
median226
Q3723.375
95-th percentile1699.04
Maximum1798.3
Range1798.3
Interquartile range (IQR)682.175

Descriptive statistics

Standard deviation534.08019
Coefficient of variation (CV)1.1522664
Kurtosis0.13293463
Mean463.50409
Median Absolute Deviation (MAD)214.3
Skewness1.1790296
Sum12145661
Variance285241.65
MonotonicityNot monotonic
2025-05-05T17:45:29.186431image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.7 634
 
2.4%
9.6 386
 
1.5%
9.8 263
 
1.0%
8.7 215
 
0.8%
1 190
 
0.7%
8.6 170
 
0.6%
10.7 143
 
0.5%
8.8 118
 
0.5%
10.6 112
 
0.4%
10.8 97
 
0.4%
Other values (10240) 23876
91.1%
ValueCountFrequency (%)
0 1
 
< 0.1%
0.2 1
 
< 0.1%
1 190
0.7%
1.1 2
 
< 0.1%
1.2 8
 
< 0.1%
1.3 2
 
< 0.1%
1.4 3
 
< 0.1%
1.5 2
 
< 0.1%
1.7 3
 
< 0.1%
1.8 2
 
< 0.1%
ValueCountFrequency (%)
1798.3 1
< 0.1%
1794.2 1
< 0.1%
1788.5 1
< 0.1%
1788.3 1
< 0.1%
1787.6 1
< 0.1%
1786.6 1
< 0.1%
1786.4 2
< 0.1%
1785.5 2
< 0.1%
1785.2 2
< 0.1%
1785.1 1
< 0.1%

Grid Production CurrentPhase3 Avg. [A]
Real number (ℝ)

High correlation 

Distinct10359
Distinct (%)39.5%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean463.88219
Minimum0
Maximum1777.4
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:29.264956image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8.6
Q148
median231.9
Q3720.4
95-th percentile1685.385
Maximum1777.4
Range1777.4
Interquartile range (IQR)672.4

Descriptive statistics

Standard deviation528.55962
Coefficient of variation (CV)1.1394264
Kurtosis0.12991292
Mean463.88219
Median Absolute Deviation (MAD)220.5
Skewness1.1740825
Sum12155569
Variance279375.27
MonotonicityNot monotonic
2025-05-05T17:45:29.344060image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.7 552
 
2.1%
8.6 277
 
1.1%
8.8 270
 
1.0%
9.6 163
 
0.6%
9.5 142
 
0.5%
1 135
 
0.5%
7.7 127
 
0.5%
8.9 114
 
0.4%
10.6 95
 
0.4%
7.8 95
 
0.4%
Other values (10349) 24234
92.5%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 135
0.5%
1.1 35
 
0.1%
1.2 15
 
0.1%
1.3 24
 
0.1%
1.4 2
 
< 0.1%
1.5 1
 
< 0.1%
1.7 1
 
< 0.1%
1.8 1
 
< 0.1%
1.9 3
 
< 0.1%
ValueCountFrequency (%)
1777.4 1
< 0.1%
1776.4 1
< 0.1%
1776.3 1
< 0.1%
1776 1
< 0.1%
1774.7 1
< 0.1%
1773.7 1
< 0.1%
1773.5 2
< 0.1%
1773.2 1
< 0.1%
1773.1 2
< 0.1%
1772.8 1
< 0.1%

Grid Production Power Max. [W]
Real number (ℝ)

High correlation 

Distinct13352
Distinct (%)51.0%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1052.6081
Minimum-3276.8
Maximum3173.1
Zeros36
Zeros (%)0.1%
Negative4088
Negative (%)15.6%
Memory size1.4 MiB
2025-05-05T17:45:29.421815image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3276.8
5-th percentile-10
Q1185.7
median645.75
Q31728.7
95-th percentile3152.1
Maximum3173.1
Range6449.9
Interquartile range (IQR)1543

Descriptive statistics

Standard deviation1066.5329
Coefficient of variation (CV)1.0132288
Kurtosis-0.63153429
Mean1052.6081
Median Absolute Deviation (MAD)582.55
Skewness0.86117459
Sum27582543
Variance1137492.4
MonotonicityNot monotonic
2025-05-05T17:45:29.495638image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-9.5 261
 
1.0%
-9.4 252
 
1.0%
-9.3 209
 
0.8%
-9.7 197
 
0.8%
-9.6 177
 
0.7%
-9.8 158
 
0.6%
-9.1 157
 
0.6%
-9.2 155
 
0.6%
-10 143
 
0.5%
-8.4 114
 
0.4%
Other values (13342) 24381
93.0%
ValueCountFrequency (%)
-3276.8 1
 
< 0.1%
-16.3 2
 
< 0.1%
-16 1
 
< 0.1%
-15.8 2
 
< 0.1%
-15.7 3
< 0.1%
-15.6 1
 
< 0.1%
-15.5 1
 
< 0.1%
-15.4 4
< 0.1%
-15.3 3
< 0.1%
-15.2 5
< 0.1%
ValueCountFrequency (%)
3173.1 1
< 0.1%
3171.2 1
< 0.1%
3171 1
< 0.1%
3170.5 1
< 0.1%
3169.6 1
< 0.1%
3169.3 1
< 0.1%
3169.2 1
< 0.1%
3169 1
< 0.1%
3168.3 2
< 0.1%
3167.9 1
< 0.1%

Grid Production Power Min. [W]
Real number (ℝ)

High correlation 

Distinct11547
Distinct (%)44.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean490.30442
Minimum-102.6
Maximum3276.7
Zeros14
Zeros (%)0.1%
Negative7833
Negative (%)29.9%
Memory size1.4 MiB
2025-05-05T17:45:29.570508image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-102.6
5-th percentile-38.3
Q1-22.2
median161
Q3707.45
95-th percentile2134.07
Maximum3276.7
Range3379.3
Interquartile range (IQR)729.65

Descriptive statistics

Standard deviation717.65054
Coefficient of variation (CV)1.4636836
Kurtosis1.6375409
Mean490.30442
Median Absolute Deviation (MAD)191
Skewness1.5912583
Sum12847937
Variance515022.29
MonotonicityNot monotonic
2025-05-05T17:45:29.648066image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-100.1 130
 
0.5%
-100 110
 
0.4%
-24.2 87
 
0.3%
-31.1 85
 
0.3%
-24.3 85
 
0.3%
-23.9 83
 
0.3%
-24.1 83
 
0.3%
-23.8 80
 
0.3%
-24 78
 
0.3%
-23.7 77
 
0.3%
Other values (11537) 25306
96.6%
ValueCountFrequency (%)
-102.6 1
 
< 0.1%
-102.1 1
 
< 0.1%
-101.9 2
 
< 0.1%
-101.7 2
 
< 0.1%
-101.5 2
 
< 0.1%
-101.4 4
< 0.1%
-101.3 3
< 0.1%
-101.2 2
 
< 0.1%
-101.1 1
 
< 0.1%
-101 6
< 0.1%
ValueCountFrequency (%)
3276.7 1
< 0.1%
2995.8 1
< 0.1%
2994.7 1
< 0.1%
2994.1 1
< 0.1%
2994 1
< 0.1%
2993.9 1
< 0.1%
2993.4 1
< 0.1%
2993.2 1
< 0.1%
2992.8 1
< 0.1%
2992.6 1
< 0.1%

Grid Busbar Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct31
Distinct (%)0.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean31.682987
Minimum0
Maximum50
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:29.855005image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile25
Q128
median31
Q334
95-th percentile41
Maximum50
Range50
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.8466527
Coefficient of variation (CV)0.15297335
Kurtosis0.15612773
Mean31.682987
Median Absolute Deviation (MAD)3
Skewness0.67059452
Sum830221
Variance23.490042
MonotonicityNot monotonic
2025-05-05T17:45:29.919414image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
34 2721
10.4%
28 2671
10.2%
30 2179
 
8.3%
35 2079
 
7.9%
29 2060
 
7.9%
27 1981
 
7.6%
33 1856
 
7.1%
26 1706
 
6.5%
32 1388
 
5.3%
31 1256
 
4.8%
Other values (21) 6307
24.1%
ValueCountFrequency (%)
0 1
 
< 0.1%
21 10
 
< 0.1%
22 7
 
< 0.1%
23 29
 
0.1%
24 571
 
2.2%
25 1223
4.7%
26 1706
6.5%
27 1981
7.6%
28 2671
10.2%
29 2060
7.9%
ValueCountFrequency (%)
50 5
 
< 0.1%
49 24
 
0.1%
48 44
 
0.2%
47 30
 
0.1%
46 37
 
0.1%
45 89
 
0.3%
44 192
 
0.7%
43 308
1.2%
42 536
2.0%
41 467
1.8%

Grid Production Power StdDev [W]
Real number (ℝ)

High correlation 

Distinct4265
Distinct (%)16.3%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean114.1137
Minimum0
Maximum1500.7
Zeros87
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:29.990279image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.6
Q124.7
median71.9
Q3170.8
95-th percentile343.885
Maximum1500.7
Range1500.7
Interquartile range (IQR)146.1

Descriptive statistics

Standard deviation127.04592
Coefficient of variation (CV)1.1133274
Kurtosis17.730576
Mean114.1137
Median Absolute Deviation (MAD)62.5
Skewness2.8437232
Sum2990235.5
Variance16140.665
MonotonicityNot monotonic
2025-05-05T17:45:30.069198image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.7 496
 
1.9%
3.8 459
 
1.8%
3.9 342
 
1.3%
3.6 341
 
1.3%
4.3 251
 
1.0%
4.4 247
 
0.9%
4 243
 
0.9%
4.2 232
 
0.9%
4.1 216
 
0.8%
4.5 158
 
0.6%
Other values (4255) 23219
88.6%
ValueCountFrequency (%)
0 87
0.3%
0.1 80
0.3%
0.2 38
0.1%
0.3 16
 
0.1%
0.4 5
 
< 0.1%
0.5 15
 
0.1%
0.6 17
 
0.1%
0.7 4
 
< 0.1%
0.8 7
 
< 0.1%
0.9 5
 
< 0.1%
ValueCountFrequency (%)
1500.7 1
< 0.1%
1493.9 1
< 0.1%
1492.4 1
< 0.1%
1482.5 1
< 0.1%
1479.3 1
< 0.1%
1477.2 1
< 0.1%
1476.4 1
< 0.1%
1475.6 1
< 0.1%
1475 1
< 0.1%
1464.3 1
< 0.1%

Grid Production ReactivePower Avg. [W]
Real number (ℝ)

High correlation  Zeros 

Distinct293
Distinct (%)1.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-1.5710655
Minimum-23.8
Maximum14.1
Zeros19504
Zeros (%)74.4%
Negative4519
Negative (%)17.2%
Memory size1.4 MiB
2025-05-05T17:45:30.144533image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-23.8
5-th percentile-11.5
Q10
median0
Q30
95-th percentile1.1
Maximum14.1
Range37.9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.2615364
Coefficient of variation (CV)-2.7125135
Kurtosis2.0822533
Mean-1.5710655
Median Absolute Deviation (MAD)0
Skewness-1.7446059
Sum-41168.2
Variance18.160692
MonotonicityNot monotonic
2025-05-05T17:45:30.222841image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19504
74.4%
0.7 221
 
0.8%
-10.9 191
 
0.7%
-11.1 176
 
0.7%
0.6 173
 
0.7%
-10.8 172
 
0.7%
0.8 169
 
0.6%
-11 167
 
0.6%
-11.2 159
 
0.6%
-10.7 158
 
0.6%
Other values (283) 5114
 
19.5%
ValueCountFrequency (%)
-23.8 1
 
< 0.1%
-22.7 1
 
< 0.1%
-21.4 1
 
< 0.1%
-20.9 1
 
< 0.1%
-20.5 1
 
< 0.1%
-19.4 1
 
< 0.1%
-19.1 2
< 0.1%
-19 1
 
< 0.1%
-18.9 1
 
< 0.1%
-18.6 3
< 0.1%
ValueCountFrequency (%)
14.1 1
 
< 0.1%
14 1
 
< 0.1%
12.8 1
 
< 0.1%
12.5 1
 
< 0.1%
12.3 1
 
< 0.1%
12.1 2
< 0.1%
11.6 3
< 0.1%
11.3 1
 
< 0.1%
10.8 1
 
< 0.1%
10.3 1
 
< 0.1%

Grid Production ReactivePower Max. [W]
Real number (ℝ)

High correlation 

Distinct300
Distinct (%)1.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2.2215616
Minimum-23.4
Maximum46.3
Zeros119
Zeros (%)0.5%
Negative3767
Negative (%)14.4%
Memory size1.4 MiB
2025-05-05T17:45:30.300821image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-23.4
5-th percentile-10.9
Q10.2
median0.5
Q30.8
95-th percentile32.4
Maximum46.3
Range69.7
Interquartile range (IQR)0.6

Descriptive statistics

Standard deviation10.891527
Coefficient of variation (CV)4.9026447
Kurtosis3.3705128
Mean2.2215616
Median Absolute Deviation (MAD)0.3
Skewness1.916655
Sum58213.8
Variance118.62536
MonotonicityNot monotonic
2025-05-05T17:45:30.379988image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6 3215
 
12.3%
0.1 2190
 
8.4%
0.7 2169
 
8.3%
0.5 2054
 
7.8%
0.2 1899
 
7.2%
0.4 1831
 
7.0%
0.3 1532
 
5.8%
0.8 1373
 
5.2%
0.9 957
 
3.7%
1 589
 
2.2%
Other values (290) 8395
32.0%
ValueCountFrequency (%)
-23.4 1
< 0.1%
-21 1
< 0.1%
-20.1 1
< 0.1%
-18.8 1
< 0.1%
-18.7 1
< 0.1%
-18.6 1
< 0.1%
-18.5 1
< 0.1%
-17.1 1
< 0.1%
-16.7 1
< 0.1%
-16.5 1
< 0.1%
ValueCountFrequency (%)
46.3 1
< 0.1%
45.7 1
< 0.1%
45.6 1
< 0.1%
45.3 1
< 0.1%
45.1 1
< 0.1%
43.7 1
< 0.1%
43.5 1
< 0.1%
37.8 1
< 0.1%
37.2 2
< 0.1%
36.9 2
< 0.1%

Grid Production ReactivePower Min. [W]
Real number (ℝ)

High correlation 

Distinct333
Distinct (%)1.3%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-4.2305488
Minimum-53.4
Maximum1.7
Zeros34
Zeros (%)0.1%
Negative25959
Negative (%)99.0%
Memory size1.4 MiB
2025-05-05T17:45:30.456964image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-53.4
5-th percentile-20.1
Q1-1.5
median-0.7
Q3-0.4
95-th percentile-0.2
Maximum1.7
Range55.1
Interquartile range (IQR)1.1

Descriptive statistics

Standard deviation7.0944868
Coefficient of variation (CV)-1.6769661
Kurtosis1.6030588
Mean-4.2305488
Median Absolute Deviation (MAD)0.3
Skewness-1.6903345
Sum-110857.3
Variance50.331744
MonotonicityNot monotonic
2025-05-05T17:45:30.533056image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.7 3899
14.9%
-0.6 2177
 
8.3%
-0.8 2170
 
8.3%
-0.2 2100
 
8.0%
-0.4 1939
 
7.4%
-0.3 1873
 
7.1%
-0.5 1559
 
5.9%
-0.9 1192
 
4.5%
-1 732
 
2.8%
-1.1 487
 
1.9%
Other values (323) 8076
30.8%
ValueCountFrequency (%)
-53.4 1
< 0.1%
-45.5 1
< 0.1%
-44.9 2
< 0.1%
-42.8 1
< 0.1%
-42.3 1
< 0.1%
-40.5 1
< 0.1%
-40.2 1
< 0.1%
-39.2 1
< 0.1%
-37.8 1
< 0.1%
-37.6 1
< 0.1%
ValueCountFrequency (%)
1.7 68
0.3%
1.6 116
0.4%
1.5 8
 
< 0.1%
0.9 1
 
< 0.1%
0.7 3
 
< 0.1%
0.6 7
 
< 0.1%
0.5 4
 
< 0.1%
0.4 1
 
< 0.1%
0.3 1
 
< 0.1%
0.1 2
 
< 0.1%

Grid Production ReactivePower StdDev [W]
Real number (ℝ)

High correlation  Zeros 

Distinct208
Distinct (%)0.8%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.2397306
Minimum0
Maximum21.5
Zeros11352
Zeros (%)43.3%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:30.611534image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.1
Q30.3
95-th percentile10.5
Maximum21.5
Range21.5
Interquartile range (IQR)0.3

Descriptive statistics

Standard deviation3.3497048
Coefficient of variation (CV)2.7019619
Kurtosis10.878581
Mean1.2397306
Median Absolute Deviation (MAD)0.1
Skewness3.3694501
Sum32485.9
Variance11.220522
MonotonicityNot monotonic
2025-05-05T17:45:30.685361image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11352
43.3%
0.1 5913
22.6%
0.2 1880
 
7.2%
0.7 793
 
3.0%
0.6 603
 
2.3%
0.3 558
 
2.1%
1 319
 
1.2%
0.8 300
 
1.1%
1.1 273
 
1.0%
0.9 216
 
0.8%
Other values (198) 3997
 
15.3%
ValueCountFrequency (%)
0 11352
43.3%
0.1 5913
22.6%
0.2 1880
 
7.2%
0.3 558
 
2.1%
0.4 92
 
0.4%
0.5 84
 
0.3%
0.6 603
 
2.3%
0.7 793
 
3.0%
0.8 300
 
1.1%
0.9 216
 
0.8%
ValueCountFrequency (%)
21.5 1
 
< 0.1%
21.3 1
 
< 0.1%
20.5 4
< 0.1%
20.4 2
 
< 0.1%
20.3 2
 
< 0.1%
20.2 4
< 0.1%
20.1 2
 
< 0.1%
20 1
 
< 0.1%
19.9 8
< 0.1%
19.8 1
 
< 0.1%

Grid Production PossiblePower Avg. [W]
Real number (ℝ)

High correlation  Zeros 

Distinct2897
Distinct (%)11.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean828.57762
Minimum0
Maximum3002
Zeros2792
Zeros (%)10.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:30.757514image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q188
median419
Q31304
95-th percentile2956
Maximum3002
Range3002
Interquartile range (IQR)1216

Descriptive statistics

Standard deviation937.20862
Coefficient of variation (CV)1.1311054
Kurtosis-0.032097731
Mean828.57762
Median Absolute Deviation (MAD)394
Skewness1.1243513
Sum21712048
Variance878360
MonotonicityNot monotonic
2025-05-05T17:45:30.834976image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2792
 
10.7%
3000 478
 
1.8%
26 219
 
0.8%
25 188
 
0.7%
24 151
 
0.6%
2999 95
 
0.4%
34 91
 
0.3%
54 85
 
0.3%
23 68
 
0.3%
44 56
 
0.2%
Other values (2887) 21981
83.9%
ValueCountFrequency (%)
0 2792
10.7%
1 39
 
0.1%
2 32
 
0.1%
3 27
 
0.1%
4 29
 
0.1%
5 42
 
0.2%
6 31
 
0.1%
7 27
 
0.1%
8 41
 
0.2%
9 28
 
0.1%
ValueCountFrequency (%)
3002 1
 
< 0.1%
3000 478
1.8%
2999 95
 
0.4%
2998 56
 
0.2%
2997 52
 
0.2%
2996 44
 
0.2%
2995 33
 
0.1%
2994 39
 
0.1%
2993 34
 
0.1%
2992 32
 
0.1%

Grid Production PossiblePower Max. [W]
Real number (ℝ)

High correlation  Zeros 

Distinct3032
Distinct (%)11.6%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1098.6319
Minimum0
Maximum3150
Zeros2729
Zeros (%)10.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:30.912374image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1208
median696
Q31839.25
95-th percentile3150
Maximum3150
Range3150
Interquartile range (IQR)1631.25

Descriptive statistics

Standard deviation1073.3999
Coefficient of variation (CV)0.9770333
Kurtosis-0.75741948
Mean1098.6319
Median Absolute Deviation (MAD)592
Skewness0.81276036
Sum28788549
Variance1152187.3
MonotonicityNot monotonic
2025-05-05T17:45:30.986718image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2729
 
10.4%
3150 2426
 
9.3%
3000 281
 
1.1%
26 182
 
0.7%
25 157
 
0.6%
24 126
 
0.5%
34 65
 
0.2%
54 56
 
0.2%
23 37
 
0.1%
193 36
 
0.1%
Other values (3022) 20109
76.7%
ValueCountFrequency (%)
0 2729
10.4%
12 1
 
< 0.1%
18 1
 
< 0.1%
19 2
 
< 0.1%
22 2
 
< 0.1%
23 37
 
0.1%
24 126
 
0.5%
25 157
 
0.6%
26 182
 
0.7%
27 8
 
< 0.1%
ValueCountFrequency (%)
3150 2426
9.3%
3149 3
 
< 0.1%
3148 1
 
< 0.1%
3147 3
 
< 0.1%
3146 2
 
< 0.1%
3145 13
 
< 0.1%
3144 3
 
< 0.1%
3143 2
 
< 0.1%
3142 4
 
< 0.1%
3141 5
 
< 0.1%

Grid Production PossiblePower Min. [W]
Real number (ℝ)

High correlation  Zeros 

Distinct2826
Distinct (%)10.8%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean526.03026
Minimum-100
Maximum3000
Zeros3243
Zeros (%)12.4%
Negative3060
Negative (%)11.7%
Memory size1.4 MiB
2025-05-05T17:45:31.062089image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-100
5-th percentile-38
Q15.75
median179
Q3765
95-th percentile2209.85
Maximum3000
Range3100
Interquartile range (IQR)759.25

Descriptive statistics

Standard deviation743.82774
Coefficient of variation (CV)1.4140398
Kurtosis1.6759389
Mean526.03026
Median Absolute Deviation (MAD)179
Skewness1.5989581
Sum13784097
Variance553279.7
MonotonicityNot monotonic
2025-05-05T17:45:31.139970image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3243
 
12.4%
-100 542
 
2.1%
3000 268
 
1.0%
26 213
 
0.8%
25 197
 
0.8%
24 181
 
0.7%
34 97
 
0.4%
54 70
 
0.3%
23 70
 
0.3%
-14 65
 
0.2%
Other values (2816) 21258
81.1%
ValueCountFrequency (%)
-100 542
2.1%
-99 7
 
< 0.1%
-98 10
 
< 0.1%
-97 7
 
< 0.1%
-96 5
 
< 0.1%
-95 11
 
< 0.1%
-94 3
 
< 0.1%
-93 2
 
< 0.1%
-92 5
 
< 0.1%
-91 7
 
< 0.1%
ValueCountFrequency (%)
3000 268
1.0%
2999 2
 
< 0.1%
2998 5
 
< 0.1%
2997 2
 
< 0.1%
2995 3
 
< 0.1%
2994 1
 
< 0.1%
2993 1
 
< 0.1%
2992 1
 
< 0.1%
2991 3
 
< 0.1%
2989 2
 
< 0.1%

Grid Production PossiblePower StdDev [W]
Real number (ℝ)

High correlation  Zeros 

Distinct619
Distinct (%)2.4%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean112.29931
Minimum0
Maximum1033
Zeros3685
Zeros (%)14.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:31.220578image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q126
median74
Q3171
95-th percentile342
Maximum1033
Range1033
Interquartile range (IQR)145

Descriptive statistics

Standard deviation114.17701
Coefficient of variation (CV)1.0167206
Kurtosis2.4539939
Mean112.29931
Median Absolute Deviation (MAD)62
Skewness1.4393931
Sum2942691
Variance13036.39
MonotonicityNot monotonic
2025-05-05T17:45:31.438809image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3685
 
14.1%
32 185
 
0.7%
40 182
 
0.7%
29 179
 
0.7%
27 178
 
0.7%
36 176
 
0.7%
30 174
 
0.7%
35 173
 
0.7%
38 167
 
0.6%
31 167
 
0.6%
Other values (609) 20938
79.9%
ValueCountFrequency (%)
0 3685
14.1%
1 67
 
0.3%
2 38
 
0.1%
3 27
 
0.1%
4 30
 
0.1%
5 54
 
0.2%
6 56
 
0.2%
7 69
 
0.3%
8 88
 
0.3%
9 129
 
0.5%
ValueCountFrequency (%)
1033 1
< 0.1%
942 1
< 0.1%
933 1
< 0.1%
873 1
< 0.1%
833 1
< 0.1%
811 1
< 0.1%
791 1
< 0.1%
778 1
< 0.1%
772 1
< 0.1%
749 1
< 0.1%
Distinct1
Distinct (%)< 0.1%
Missing4
Missing (%)< 0.1%
Memory size2.5 MiB
0.0
26204 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78612
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26204
> 99.9%
(Missing) 4
 
< 0.1%

Length

2025-05-05T17:45:31.505842image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:45:31.538904image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26204
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52408
66.7%
. 26204
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78612
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52408
66.7%
. 26204
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78612
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52408
66.7%
. 26204
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78612
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52408
66.7%
. 26204
33.3%
Distinct1
Distinct (%)< 0.1%
Missing4
Missing (%)< 0.1%
Memory size2.5 MiB
0.0
26204 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78612
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26204
> 99.9%
(Missing) 4
 
< 0.1%

Length

2025-05-05T17:45:31.577618image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:45:31.611728image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26204
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52408
66.7%
. 26204
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78612
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52408
66.7%
. 26204
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78612
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52408
66.7%
. 26204
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78612
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52408
66.7%
. 26204
33.3%
Distinct1
Distinct (%)< 0.1%
Missing4
Missing (%)< 0.1%
Memory size2.5 MiB
0.0
26204 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78612
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26204
> 99.9%
(Missing) 4
 
< 0.1%

Length

2025-05-05T17:45:31.650382image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:45:31.683203image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26204
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52408
66.7%
. 26204
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78612
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52408
66.7%
. 26204
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78612
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52408
66.7%
. 26204
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78612
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52408
66.7%
. 26204
33.3%
Distinct1
Distinct (%)< 0.1%
Missing4
Missing (%)< 0.1%
Memory size2.5 MiB
0.0
26204 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78612
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26204
> 99.9%
(Missing) 4
 
< 0.1%

Length

2025-05-05T17:45:31.723089image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:45:31.755919image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26204
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52408
66.7%
. 26204
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78612
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52408
66.7%
. 26204
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78612
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52408
66.7%
. 26204
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78612
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52408
66.7%
. 26204
33.3%
Distinct1
Distinct (%)< 0.1%
Missing4
Missing (%)< 0.1%
Memory size2.5 MiB
0.0
26204 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78612
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26204
> 99.9%
(Missing) 4
 
< 0.1%

Length

2025-05-05T17:45:31.795151image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:45:31.829997image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26204
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52408
66.7%
. 26204
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78612
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52408
66.7%
. 26204
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78612
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52408
66.7%
. 26204
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78612
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52408
66.7%
. 26204
33.3%
Distinct1
Distinct (%)< 0.1%
Missing4
Missing (%)< 0.1%
Memory size2.5 MiB
0.0
26204 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78612
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26204
> 99.9%
(Missing) 4
 
< 0.1%

Length

2025-05-05T17:45:31.868990image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:45:31.901973image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26204
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52408
66.7%
. 26204
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78612
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52408
66.7%
. 26204
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78612
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52408
66.7%
. 26204
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78612
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52408
66.7%
. 26204
33.3%
Distinct1
Distinct (%)< 0.1%
Missing4
Missing (%)< 0.1%
Memory size2.5 MiB
0.0
26204 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78612
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26204
> 99.9%
(Missing) 4
 
< 0.1%

Length

2025-05-05T17:45:31.941934image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:45:31.974842image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26204
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52408
66.7%
. 26204
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78612
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52408
66.7%
. 26204
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78612
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52408
66.7%
. 26204
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78612
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52408
66.7%
. 26204
33.3%
Distinct1
Distinct (%)< 0.1%
Missing4
Missing (%)< 0.1%
Memory size2.5 MiB
0.0
26204 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78612
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26204
> 99.9%
(Missing) 4
 
< 0.1%

Length

2025-05-05T17:45:32.015240image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:45:32.048351image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26204
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52408
66.7%
. 26204
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78612
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52408
66.7%
. 26204
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78612
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52408
66.7%
. 26204
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78612
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52408
66.7%
. 26204
33.3%

Active power limit [W]
Real number (ℝ)

High correlation  Skewed 

Distinct14
Distinct (%)0.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2997.4378
Minimum0
Maximum3000
Zeros15
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:32.080067image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3000
Q13000
median3000
Q33000
95-th percentile3000
Maximum3000
Range3000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation73.605035
Coefficient of variation (CV)0.024555984
Kurtosis1573.3716
Mean2997.4378
Median Absolute Deviation (MAD)0
Skewness-38.934885
Sum78544860
Variance5417.7012
MonotonicityNot monotonic
2025-05-05T17:45:32.132665image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
3000 26062
99.4%
2955 57
 
0.2%
0 15
 
0.1%
2910 12
 
< 0.1%
2865 10
 
< 0.1%
2640 9
 
< 0.1%
2775 8
 
< 0.1%
2460 6
 
< 0.1%
2595 6
 
< 0.1%
2685 5
 
< 0.1%
Other values (4) 14
 
0.1%
ValueCountFrequency (%)
0 15
0.1%
2460 6
 
< 0.1%
2505 4
 
< 0.1%
2550 3
 
< 0.1%
2595 6
 
< 0.1%
2640 9
< 0.1%
2685 5
 
< 0.1%
2730 3
 
< 0.1%
2775 8
< 0.1%
2820 4
 
< 0.1%
ValueCountFrequency (%)
3000 26062
99.4%
2955 57
 
0.2%
2910 12
 
< 0.1%
2865 10
 
< 0.1%
2820 4
 
< 0.1%
2775 8
 
< 0.1%
2730 3
 
< 0.1%
2685 5
 
< 0.1%
2640 9
 
< 0.1%
2595 6
 
< 0.1%

Active power limit source
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing4
Missing (%)< 0.1%
Memory size2.5 MiB
11.0
26199 
0.0
 
5

Length

Max length4
Median length4
Mean length3.9998092
Min length3

Characters and Unicode

Total characters104811
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11.0
2nd row11.0
3rd row11.0
4th row11.0
5th row11.0

Common Values

ValueCountFrequency (%)
11.0 26199
> 99.9%
0.0 5
 
< 0.1%
(Missing) 4
 
< 0.1%

Length

2025-05-05T17:45:32.193345image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:45:32.229960image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
11.0 26199
> 99.9%
0.0 5
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
1 52398
50.0%
0 26209
25.0%
. 26204
25.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 104811
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 52398
50.0%
0 26209
25.0%
. 26204
25.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 104811
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 52398
50.0%
0 26209
25.0%
. 26204
25.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 104811
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 52398
50.0%
0 26209
25.0%
. 26204
25.0%

Reactive power set point [var]
Categorical

Constant 

Distinct1
Distinct (%)< 0.1%
Missing4
Missing (%)< 0.1%
Memory size2.5 MiB
0.0
26204 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78612
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26204
> 99.9%
(Missing) 4
 
< 0.1%

Length

2025-05-05T17:45:32.273175image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:45:32.306304image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26204
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52408
66.7%
. 26204
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78612
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52408
66.7%
. 26204
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78612
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52408
66.7%
. 26204
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78612
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52408
66.7%
. 26204
33.3%

Power factor set point
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing4
Missing (%)< 0.1%
Memory size2.5 MiB
1.0
26199 
0.0
 
5

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78612
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 26199
> 99.9%
0.0 5
 
< 0.1%
(Missing) 4
 
< 0.1%

Length

2025-05-05T17:45:32.346280image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:45:32.382006image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 26199
> 99.9%
0.0 5
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 26209
33.3%
. 26204
33.3%
1 26199
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78612
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 26209
33.3%
. 26204
33.3%
1 26199
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78612
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 26209
33.3%
. 26204
33.3%
1 26199
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78612
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 26209
33.3%
. 26204
33.3%
1 26199
33.3%

Power factor set point source
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing4
Missing (%)< 0.1%
Memory size2.5 MiB
11.0
26199 
0.0
 
5

Length

Max length4
Median length4
Mean length3.9998092
Min length3

Characters and Unicode

Total characters104811
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11.0
2nd row11.0
3rd row11.0
4th row11.0
5th row11.0

Common Values

ValueCountFrequency (%)
11.0 26199
> 99.9%
0.0 5
 
< 0.1%
(Missing) 4
 
< 0.1%

Length

2025-05-05T17:45:32.425728image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:45:32.462342image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
11.0 26199
> 99.9%
0.0 5
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
1 52398
50.0%
0 26209
25.0%
. 26204
25.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 104811
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 52398
50.0%
0 26209
25.0%
. 26204
25.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 104811
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 52398
50.0%
0 26209
25.0%
. 26204
25.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 104811
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 52398
50.0%
0 26209
25.0%
. 26204
25.0%

Controller Ground Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct32
Distinct (%)0.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean21.90635
Minimum0
Maximum43
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:32.507999image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15
Q118
median21
Q326
95-th percentile31
Maximum43
Range43
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.2931402
Coefficient of variation (CV)0.24162584
Kurtosis0.27401246
Mean21.90635
Median Absolute Deviation (MAD)4
Skewness0.77000861
Sum574034
Variance28.017333
MonotonicityNot monotonic
2025-05-05T17:45:32.570542image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
18 2594
 
9.9%
19 2492
 
9.5%
16 1975
 
7.5%
17 1877
 
7.2%
20 1850
 
7.1%
21 1708
 
6.5%
26 1408
 
5.4%
22 1333
 
5.1%
25 1298
 
5.0%
23 1279
 
4.9%
Other values (22) 8390
32.0%
ValueCountFrequency (%)
0 1
 
< 0.1%
13 13
 
< 0.1%
14 801
 
3.1%
15 1058
4.0%
16 1975
7.5%
17 1877
7.2%
18 2594
9.9%
19 2492
9.5%
20 1850
7.1%
21 1708
6.5%
ValueCountFrequency (%)
43 9
 
< 0.1%
42 28
 
0.1%
41 22
 
0.1%
40 39
 
0.1%
39 63
 
0.2%
38 52
 
0.2%
37 86
0.3%
36 173
0.7%
35 148
0.6%
34 178
0.7%

Controller Top Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct32
Distinct (%)0.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean27.923905
Minimum0
Maximum50
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:32.632023image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile23
Q125
median26
Q330
95-th percentile36
Maximum50
Range50
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.8473325
Coefficient of variation (CV)0.17359078
Kurtosis2.6580292
Mean27.923905
Median Absolute Deviation (MAD)2
Skewness1.5034776
Sum731718
Variance23.496633
MonotonicityNot monotonic
2025-05-05T17:45:32.700043image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
25 3956
15.1%
24 3302
12.6%
26 3130
11.9%
27 2469
9.4%
23 2229
8.5%
28 1359
 
5.2%
31 1332
 
5.1%
30 1312
 
5.0%
32 1161
 
4.4%
29 1088
 
4.2%
Other values (22) 4866
18.6%
ValueCountFrequency (%)
0 1
 
< 0.1%
20 4
 
< 0.1%
21 167
 
0.6%
22 644
 
2.5%
23 2229
8.5%
24 3302
12.6%
25 3956
15.1%
26 3130
11.9%
27 2469
9.4%
28 1359
 
5.2%
ValueCountFrequency (%)
50 5
 
< 0.1%
49 6
 
< 0.1%
48 24
 
0.1%
47 87
0.3%
46 167
0.6%
45 88
0.3%
44 152
0.6%
43 125
0.5%
42 117
0.4%
41 104
0.4%

Controller Hub Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct33
Distinct (%)0.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean21.106091
Minimum0
Maximum41
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:32.766055image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14
Q117
median20
Q324
95-th percentile32
Maximum41
Range41
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.5447067
Coefficient of variation (CV)0.26270648
Kurtosis0.44702302
Mean21.106091
Median Absolute Deviation (MAD)3
Skewness0.79236077
Sum553064
Variance30.743772
MonotonicityNot monotonic
2025-05-05T17:45:32.833155image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
18 2454
 
9.4%
19 2157
 
8.2%
17 2100
 
8.0%
21 1952
 
7.4%
16 1858
 
7.1%
22 1692
 
6.5%
20 1562
 
6.0%
23 1547
 
5.9%
15 1290
 
4.9%
24 1125
 
4.3%
Other values (23) 8467
32.3%
ValueCountFrequency (%)
0 1
 
< 0.1%
10 49
 
0.2%
11 138
 
0.5%
12 436
 
1.7%
13 525
 
2.0%
14 1016
3.9%
15 1290
4.9%
16 1858
7.1%
17 2100
8.0%
18 2454
9.4%
ValueCountFrequency (%)
41 42
 
0.2%
40 39
 
0.1%
39 64
 
0.2%
38 69
 
0.3%
37 84
 
0.3%
36 103
 
0.4%
35 204
0.8%
34 278
1.1%
33 295
1.1%
32 354
1.4%

Controller VCP Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct29
Distinct (%)0.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean37.677301
Minimum0
Maximum54
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:32.898329image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile31
Q134
median37
Q341
95-th percentile46
Maximum54
Range54
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.919546
Coefficient of variation (CV)0.13057055
Kurtosis-0.37891444
Mean37.677301
Median Absolute Deviation (MAD)4
Skewness0.48584452
Sum987296
Variance24.201933
MonotonicityNot monotonic
2025-05-05T17:45:32.961177image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
34 2477
 
9.5%
35 2288
 
8.7%
33 2208
 
8.4%
32 2000
 
7.6%
37 1606
 
6.1%
38 1571
 
6.0%
41 1473
 
5.6%
36 1425
 
5.4%
40 1419
 
5.4%
39 1418
 
5.4%
Other values (19) 8319
31.7%
ValueCountFrequency (%)
0 1
 
< 0.1%
27 5
 
< 0.1%
28 11
 
< 0.1%
29 40
 
0.2%
30 623
 
2.4%
31 1297
4.9%
32 2000
7.6%
33 2208
8.4%
34 2477
9.5%
35 2288
8.7%
ValueCountFrequency (%)
54 9
 
< 0.1%
53 32
 
0.1%
52 86
 
0.3%
51 129
 
0.5%
50 101
 
0.4%
49 172
 
0.7%
48 236
 
0.9%
47 240
 
0.9%
46 596
2.3%
45 1167
4.5%

Controller VCP ChokecoilTemp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct101
Distinct (%)0.4%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean72.183331
Minimum0
Maximum121
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:33.033238image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile34
Q164
median73
Q382
95-th percentile107
Maximum121
Range121
Interquartile range (IQR)18

Descriptive statistics

Standard deviation19.452491
Coefficient of variation (CV)0.2694873
Kurtosis0.14863927
Mean72.183331
Median Absolute Deviation (MAD)9
Skewness-0.26056395
Sum1891492
Variance378.39939
MonotonicityNot monotonic
2025-05-05T17:45:33.247556image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
72 1252
 
4.8%
73 1103
 
4.2%
71 1050
 
4.0%
74 959
 
3.7%
75 918
 
3.5%
70 901
 
3.4%
77 873
 
3.3%
76 868
 
3.3%
69 717
 
2.7%
78 666
 
2.5%
Other values (91) 16897
64.5%
ValueCountFrequency (%)
0 1
 
< 0.1%
22 2
 
< 0.1%
23 5
 
< 0.1%
24 4
 
< 0.1%
25 27
 
0.1%
26 85
0.3%
27 202
0.8%
28 207
0.8%
29 194
0.7%
30 158
0.6%
ValueCountFrequency (%)
121 4
 
< 0.1%
120 9
 
< 0.1%
119 10
 
< 0.1%
118 16
 
0.1%
117 13
 
< 0.1%
116 54
 
0.2%
115 72
0.3%
114 116
0.4%
113 137
0.5%
112 171
0.7%

Controller VCP WaterTemp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct36
Distinct (%)0.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean34.097237
Minimum0
Maximum52
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:33.320215image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile28
Q130
median34
Q337
95-th percentile44
Maximum52
Range52
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.0583899
Coefficient of variation (CV)0.1483519
Kurtosis0.09677691
Mean34.097237
Median Absolute Deviation (MAD)4
Skewness0.706678
Sum893484
Variance25.587308
MonotonicityNot monotonic
2025-05-05T17:45:33.388129image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
29 4142
15.8%
30 3794
14.5%
36 2931
11.2%
37 2841
10.8%
35 1638
 
6.2%
31 1361
 
5.2%
28 1314
 
5.0%
32 1013
 
3.9%
33 943
 
3.6%
34 936
 
3.6%
Other values (26) 5291
20.2%
ValueCountFrequency (%)
0 1
 
< 0.1%
18 9
 
< 0.1%
19 6
 
< 0.1%
20 5
 
< 0.1%
21 10
 
< 0.1%
22 13
 
< 0.1%
23 11
 
< 0.1%
24 22
0.1%
25 29
0.1%
26 49
0.2%
ValueCountFrequency (%)
52 19
 
0.1%
51 53
 
0.2%
50 78
 
0.3%
49 74
 
0.3%
48 63
 
0.2%
47 52
 
0.2%
46 78
 
0.3%
45 460
1.8%
44 740
2.8%
43 800
3.1%

Spinner Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct35
Distinct (%)0.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean15.994505
Minimum0
Maximum37
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:33.452339image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q112
median15
Q319
95-th percentile28
Maximum37
Range37
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.8315121
Coefficient of variation (CV)0.36459473
Kurtosis0.33501542
Mean15.994505
Median Absolute Deviation (MAD)4
Skewness0.76894482
Sum419120
Variance34.006534
MonotonicityNot monotonic
2025-05-05T17:45:33.520653image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
12 2675
 
10.2%
14 1962
 
7.5%
16 1866
 
7.1%
11 1746
 
6.7%
10 1665
 
6.4%
13 1660
 
6.3%
17 1506
 
5.7%
18 1492
 
5.7%
15 1437
 
5.5%
19 1233
 
4.7%
Other values (25) 8962
34.2%
ValueCountFrequency (%)
0 1
 
< 0.1%
4 1
 
< 0.1%
5 132
 
0.5%
6 285
 
1.1%
7 452
 
1.7%
8 568
 
2.2%
9 1169
4.5%
10 1665
6.4%
11 1746
6.7%
12 2675
10.2%
ValueCountFrequency (%)
37 16
 
0.1%
36 51
 
0.2%
35 56
 
0.2%
34 58
 
0.2%
33 78
 
0.3%
32 85
 
0.3%
31 121
 
0.5%
30 252
1.0%
29 229
0.9%
28 414
1.6%

Spinner Temp. SlipRing Avg. [°C]
Categorical

Constant 

Distinct1
Distinct (%)< 0.1%
Missing4
Missing (%)< 0.1%
Memory size2.6 MiB
999.0
26204 

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters131020
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row999.0
2nd row999.0
3rd row999.0
4th row999.0
5th row999.0

Common Values

ValueCountFrequency (%)
999.0 26204
> 99.9%
(Missing) 4
 
< 0.1%

Length

2025-05-05T17:45:33.584692image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:45:33.618887image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
999.0 26204
100.0%

Most occurring characters

ValueCountFrequency (%)
9 78612
60.0%
. 26204
 
20.0%
0 26204
 
20.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 131020
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
9 78612
60.0%
. 26204
 
20.0%
0 26204
 
20.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 131020
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
9 78612
60.0%
. 26204
 
20.0%
0 26204
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 131020
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
9 78612
60.0%
. 26204
 
20.0%
0 26204
 
20.0%

Blades PitchAngle Min. [°]
Real number (ℝ)

High correlation  Skewed 

Distinct375
Distinct (%)1.4%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean7.5333155
Minimum-3276.8
Maximum88.7
Zeros255
Zeros (%)1.0%
Negative11412
Negative (%)43.5%
Memory size1.4 MiB
2025-05-05T17:45:33.667003image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3276.8
5-th percentile-2.3
Q1-1.2
median0.7
Q314.4
95-th percentile40.8
Maximum88.7
Range3365.5
Interquartile range (IQR)15.6

Descriptive statistics

Standard deviation25.87603
Coefficient of variation (CV)3.4348794
Kurtosis9906.1857
Mean7.5333155
Median Absolute Deviation (MAD)2.6
Skewness-77.307079
Sum197403
Variance669.56893
MonotonicityNot monotonic
2025-05-05T17:45:33.745215image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 3818
 
14.6%
0.9 954
 
3.6%
-2.3 738
 
2.8%
-2.2 595
 
2.3%
-1.3 580
 
2.2%
-1.2 577
 
2.2%
-1.1 548
 
2.1%
-1.4 542
 
2.1%
-2.1 541
 
2.1%
0.8 536
 
2.0%
Other values (365) 16775
64.0%
ValueCountFrequency (%)
-3276.8 1
 
< 0.1%
-2.7 13
 
< 0.1%
-2.6 75
 
0.3%
-2.5 132
 
0.5%
-2.4 448
1.7%
-2.3 738
2.8%
-2.2 595
2.3%
-2.1 541
2.1%
-2 515
2.0%
-1.9 488
1.9%
ValueCountFrequency (%)
88.7 78
 
0.3%
88.6 226
0.9%
87.7 1
 
< 0.1%
86.9 1
 
< 0.1%
85.6 1
 
< 0.1%
78.1 3
 
< 0.1%
78 398
1.5%
69.1 1
 
< 0.1%
65.7 1
 
< 0.1%
57.8 1
 
< 0.1%

Blades PitchAngle Max. [°]
Real number (ℝ)

High correlation  Skewed 

Distinct207
Distinct (%)0.8%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2.7575027
Minimum-2.8
Maximum3276.7
Zeros175
Zeros (%)0.7%
Negative20855
Negative (%)79.6%
Memory size1.4 MiB
2025-05-05T17:45:33.823554image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-2.8
5-th percentile-2.8
Q1-2.8
median-2.8
Q3-1
95-th percentile20
Maximum3276.7
Range3279.5
Interquartile range (IQR)1.8

Descriptive statistics

Standard deviation24.674291
Coefficient of variation (CV)8.9480568
Kurtosis11831.324
Mean2.7575027
Median Absolute Deviation (MAD)0
Skewness89.932025
Sum72257.6
Variance608.82062
MonotonicityNot monotonic
2025-05-05T17:45:33.901387image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-2.8 13710
52.3%
20 3408
 
13.0%
-2.7 1281
 
4.9%
-2.6 763
 
2.9%
-2.5 377
 
1.4%
-2.4 344
 
1.3%
78 321
 
1.2%
-1.3 315
 
1.2%
-1.2 313
 
1.2%
-2.3 294
 
1.1%
Other values (197) 5078
 
19.4%
ValueCountFrequency (%)
-2.8 13710
52.3%
-2.7 1281
 
4.9%
-2.6 763
 
2.9%
-2.5 377
 
1.4%
-2.4 344
 
1.3%
-2.3 294
 
1.1%
-2.2 213
 
0.8%
-2.1 197
 
0.8%
-2 206
 
0.8%
-1.9 190
 
0.7%
ValueCountFrequency (%)
3276.7 1
 
< 0.1%
88.7 20
 
0.1%
88.6 214
0.8%
78 321
1.2%
77.9 1
 
< 0.1%
76.8 2
 
< 0.1%
76.7 2
 
< 0.1%
76.6 3
 
< 0.1%
76.5 2
 
< 0.1%
76.4 1
 
< 0.1%

Blades PitchAngle Avg. [°]
Real number (ℝ)

High correlation  Zeros 

Distinct353
Distinct (%)1.3%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean4.3571134
Minimum-2.7
Maximum88.7
Zeros360
Zeros (%)1.4%
Negative17217
Negative (%)65.7%
Memory size1.4 MiB
2025-05-05T17:45:33.978714image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-2.7
5-th percentile-2.6
Q1-2.4
median-1.4
Q33.525
95-th percentile20
Maximum88.7
Range91.4
Interquartile range (IQR)5.925

Descriptive statistics

Standard deviation14.364127
Coefficient of variation (CV)3.2967071
Kurtosis17.584424
Mean4.3571134
Median Absolute Deviation (MAD)1.1
Skewness3.8562617
Sum114173.8
Variance206.32813
MonotonicityNot monotonic
2025-05-05T17:45:34.057146image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-2.5 4311
 
16.4%
20 3385
 
12.9%
-2.4 1450
 
5.5%
-2.6 1446
 
5.5%
-2.3 975
 
3.7%
-2.2 692
 
2.6%
-1.9 631
 
2.4%
-2 593
 
2.3%
-2.1 557
 
2.1%
-1.8 512
 
2.0%
Other values (343) 11652
44.5%
ValueCountFrequency (%)
-2.7 417
 
1.6%
-2.6 1446
 
5.5%
-2.5 4311
16.4%
-2.4 1450
 
5.5%
-2.3 975
 
3.7%
-2.2 692
 
2.6%
-2.1 557
 
2.1%
-2 593
 
2.3%
-1.9 631
 
2.4%
-1.8 512
 
2.0%
ValueCountFrequency (%)
88.7 20
 
0.1%
88.6 214
0.8%
88.5 3
 
< 0.1%
88.4 1
 
< 0.1%
88.3 1
 
< 0.1%
87.3 1
 
< 0.1%
85.4 1
 
< 0.1%
85.2 1
 
< 0.1%
85 1
 
< 0.1%
84.9 1
 
< 0.1%

Blades PitchAngle StdDev [°]
Real number (ℝ)

High correlation  Zeros 

Distinct224
Distinct (%)0.9%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.09323
Minimum0
Maximum43.3
Zeros5398
Zeros (%)20.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:34.135298image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.1
median0.3
Q30.9
95-th percentile4
Maximum43.3
Range43.3
Interquartile range (IQR)0.8

Descriptive statistics

Standard deviation2.7635838
Coefficient of variation (CV)2.527907
Kurtosis81.908132
Mean1.09323
Median Absolute Deviation (MAD)0.3
Skewness7.598441
Sum28647
Variance7.6373957
MonotonicityNot monotonic
2025-05-05T17:45:34.209054image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5398
20.6%
0.1 3753
14.3%
0.2 2373
 
9.1%
0.3 1924
 
7.3%
0.4 1708
 
6.5%
0.5 1449
 
5.5%
0.6 1097
 
4.2%
0.7 841
 
3.2%
0.8 625
 
2.4%
0.9 530
 
2.0%
Other values (214) 6506
24.8%
ValueCountFrequency (%)
0 5398
20.6%
0.1 3753
14.3%
0.2 2373
9.1%
0.3 1924
 
7.3%
0.4 1708
 
6.5%
0.5 1449
 
5.5%
0.6 1097
 
4.2%
0.7 841
 
3.2%
0.8 625
 
2.4%
0.9 530
 
2.0%
ValueCountFrequency (%)
43.3 1
 
< 0.1%
43.2 1
 
< 0.1%
41.8 1
 
< 0.1%
41.6 2
< 0.1%
41.5 1
 
< 0.1%
41.4 1
 
< 0.1%
41.2 2
< 0.1%
41.1 1
 
< 0.1%
41 3
< 0.1%
40.7 2
< 0.1%

HVTrafo Phase1 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct65
Distinct (%)0.2%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean43.885819
Minimum0
Maximum88
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:34.283812image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile32
Q134
median38
Q349
95-th percentile76
Maximum88
Range88
Interquartile range (IQR)15

Descriptive statistics

Standard deviation14.099613
Coefficient of variation (CV)0.32127947
Kurtosis0.50785888
Mean43.885819
Median Absolute Deviation (MAD)5
Skewness1.3106568
Sum1149984
Variance198.79908
MonotonicityNot monotonic
2025-05-05T17:45:34.359474image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33 2501
 
9.5%
32 2336
 
8.9%
34 2211
 
8.4%
35 1611
 
6.1%
36 1609
 
6.1%
38 1276
 
4.9%
37 1126
 
4.3%
40 1043
 
4.0%
41 882
 
3.4%
42 792
 
3.0%
Other values (55) 10817
41.3%
ValueCountFrequency (%)
0 1
 
< 0.1%
25 2
 
< 0.1%
26 16
 
0.1%
27 11
 
< 0.1%
28 9
 
< 0.1%
29 11
 
< 0.1%
30 335
 
1.3%
31 745
 
2.8%
32 2336
8.9%
33 2501
9.5%
ValueCountFrequency (%)
88 3
 
< 0.1%
87 17
 
0.1%
86 10
 
< 0.1%
85 17
 
0.1%
84 41
 
0.2%
83 60
 
0.2%
82 69
 
0.3%
81 124
0.5%
80 199
0.8%
79 184
0.7%

HVTrafo Phase2 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct63
Distinct (%)0.2%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean47.966379
Minimum0
Maximum90
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:34.435218image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile35
Q138
median42
Q355
95-th percentile76
Maximum90
Range90
Interquartile range (IQR)17

Descriptive statistics

Standard deviation13.663501
Coefficient of variation (CV)0.2848558
Kurtosis-0.036633059
Mean47.966379
Median Absolute Deviation (MAD)6
Skewness1.098846
Sum1256911
Variance186.69127
MonotonicityNot monotonic
2025-05-05T17:45:34.509662image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36 2347
 
9.0%
37 2173
 
8.3%
38 1915
 
7.3%
40 1415
 
5.4%
39 1332
 
5.1%
42 1120
 
4.3%
44 1098
 
4.2%
41 1097
 
4.2%
35 1080
 
4.1%
43 857
 
3.3%
Other values (53) 11770
44.9%
ValueCountFrequency (%)
0 1
 
< 0.1%
29 4
 
< 0.1%
30 16
 
0.1%
31 8
 
< 0.1%
32 8
 
< 0.1%
33 63
 
0.2%
34 725
 
2.8%
35 1080
4.1%
36 2347
9.0%
37 2173
8.3%
ValueCountFrequency (%)
90 3
 
< 0.1%
89 8
 
< 0.1%
88 15
 
0.1%
87 13
 
< 0.1%
86 24
 
0.1%
85 24
 
0.1%
84 107
0.4%
83 118
0.5%
82 143
0.5%
81 128
0.5%

HVTrafo Phase3 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct62
Distinct (%)0.2%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean45.252862
Minimum0
Maximum85
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:34.584432image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile33
Q135
median40
Q352
95-th percentile73
Maximum85
Range85
Interquartile range (IQR)17

Descriptive statistics

Standard deviation13.132044
Coefficient of variation (CV)0.29019256
Kurtosis-0.0072185536
Mean45.252862
Median Absolute Deviation (MAD)6
Skewness1.1159548
Sum1185806
Variance172.45058
MonotonicityNot monotonic
2025-05-05T17:45:34.659233image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34 2457
 
9.4%
35 2119
 
8.1%
36 1899
 
7.2%
38 1439
 
5.5%
37 1363
 
5.2%
40 1187
 
4.5%
39 1130
 
4.3%
33 1097
 
4.2%
43 868
 
3.3%
42 855
 
3.3%
Other values (52) 11790
45.0%
ValueCountFrequency (%)
0 1
 
< 0.1%
25 8
 
< 0.1%
26 15
 
0.1%
27 8
 
< 0.1%
28 9
 
< 0.1%
29 10
 
< 0.1%
30 25
 
0.1%
31 279
 
1.1%
32 756
2.9%
33 1097
4.2%
ValueCountFrequency (%)
85 1
 
< 0.1%
84 7
 
< 0.1%
83 8
 
< 0.1%
82 17
 
0.1%
81 36
 
0.1%
80 43
 
0.2%
79 63
 
0.2%
78 106
0.4%
77 149
0.6%
76 216
0.8%

HVTrafo AirOutlet Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct45
Distinct (%)0.2%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean43.115593
Minimum0
Maximum61
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:34.729519image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile36
Q139
median43
Q347
95-th percentile51
Maximum61
Range61
Interquartile range (IQR)8

Descriptive statistics

Standard deviation4.8894775
Coefficient of variation (CV)0.11340393
Kurtosis-0.027416898
Mean43.115593
Median Absolute Deviation (MAD)4
Skewness0.13996318
Sum1129801
Variance23.90699
MonotonicityNot monotonic
2025-05-05T17:45:34.944432image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
38 2024
 
7.7%
37 1950
 
7.4%
44 1867
 
7.1%
39 1821
 
6.9%
45 1782
 
6.8%
43 1719
 
6.6%
46 1717
 
6.6%
40 1618
 
6.2%
41 1617
 
6.2%
42 1610
 
6.1%
Other values (35) 8479
32.4%
ValueCountFrequency (%)
0 1
 
< 0.1%
16 1
 
< 0.1%
17 1
 
< 0.1%
18 1
 
< 0.1%
19 4
< 0.1%
21 1
 
< 0.1%
22 3
 
< 0.1%
23 9
< 0.1%
24 7
< 0.1%
25 4
< 0.1%
ValueCountFrequency (%)
61 1
 
< 0.1%
59 26
 
0.1%
58 19
 
0.1%
57 12
 
< 0.1%
56 52
 
0.2%
55 130
 
0.5%
54 137
 
0.5%
53 247
 
0.9%
52 496
1.9%
51 742
2.8%
Distinct1
Distinct (%)< 0.1%
Missing4
Missing (%)< 0.1%
Memory size2.6 MiB
600.0
26204 

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters131020
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row600.0
2nd row600.0
3rd row600.0
4th row600.0
5th row600.0

Common Values

ValueCountFrequency (%)
600.0 26204
> 99.9%
(Missing) 4
 
< 0.1%

Length

2025-05-05T17:45:35.009332image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:45:35.043180image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
600.0 26204
100.0%

Most occurring characters

ValueCountFrequency (%)
0 78612
60.0%
6 26204
 
20.0%
. 26204
 
20.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 131020
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 78612
60.0%
6 26204
 
20.0%
. 26204
 
20.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 131020
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 78612
60.0%
6 26204
 
20.0%
. 26204
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 131020
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 78612
60.0%
6 26204
 
20.0%
. 26204
 
20.0%

HourCounters Average GridOn Avg. [h]
Real number (ℝ)

High correlation  Skewed 

Distinct16
Distinct (%)0.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean599.91921
Minimum0
Maximum600
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:35.075920image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile600
Q1600
median600
Q3600
95-th percentile600
Maximum600
Range600
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.8199343
Coefficient of variation (CV)0.0080343056
Kurtosis10375.257
Mean599.91921
Median Absolute Deviation (MAD)0
Skewness-93.952736
Sum15720283
Variance23.231766
MonotonicityNot monotonic
2025-05-05T17:45:35.129663image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
600 26187
99.9%
513 2
 
< 0.1%
512 2
 
< 0.1%
0 1
 
< 0.1%
561 1
 
< 0.1%
514 1
 
< 0.1%
589 1
 
< 0.1%
264 1
 
< 0.1%
529 1
 
< 0.1%
507 1
 
< 0.1%
Other values (6) 6
 
< 0.1%
(Missing) 4
 
< 0.1%
ValueCountFrequency (%)
0 1
< 0.1%
264 1
< 0.1%
349 1
< 0.1%
507 1
< 0.1%
512 2
< 0.1%
513 2
< 0.1%
514 1
< 0.1%
515 1
< 0.1%
516 1
< 0.1%
529 1
< 0.1%
ValueCountFrequency (%)
600 26187
99.9%
589 1
 
< 0.1%
586 1
 
< 0.1%
567 1
 
< 0.1%
561 1
 
< 0.1%
536 1
 
< 0.1%
529 1
 
< 0.1%
516 1
 
< 0.1%
515 1
 
< 0.1%
514 1
 
< 0.1%

HourCounters Average GridOk Avg. [h]
Real number (ℝ)

High correlation 

Distinct33
Distinct (%)0.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean597.59647
Minimum0
Maximum600
Zeros95
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:35.190001image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile600
Q1600
median600
Q3600
95-th percentile600
Maximum600
Range600
Interquartile range (IQR)0

Descriptive statistics

Standard deviation36.958674
Coefficient of variation (CV)0.061845535
Kurtosis250.04248
Mean597.59647
Median Absolute Deviation (MAD)0
Skewness-15.799834
Sum15659418
Variance1365.9436
MonotonicityNot monotonic
2025-05-05T17:45:35.255599image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
600 26076
99.5%
0 95
 
0.4%
397 2
 
< 0.1%
513 2
 
< 0.1%
532 1
 
< 0.1%
476 1
 
< 0.1%
350 1
 
< 0.1%
394 1
 
< 0.1%
226 1
 
< 0.1%
530 1
 
< 0.1%
Other values (23) 23
 
0.1%
(Missing) 4
 
< 0.1%
ValueCountFrequency (%)
0 95
0.4%
111 1
 
< 0.1%
113 1
 
< 0.1%
141 1
 
< 0.1%
194 1
 
< 0.1%
224 1
 
< 0.1%
226 1
 
< 0.1%
264 1
 
< 0.1%
334 1
 
< 0.1%
348 1
 
< 0.1%
ValueCountFrequency (%)
600 26076
99.5%
594 1
 
< 0.1%
561 1
 
< 0.1%
557 1
 
< 0.1%
550 1
 
< 0.1%
543 1
 
< 0.1%
541 1
 
< 0.1%
539 1
 
< 0.1%
532 1
 
< 0.1%
530 1
 
< 0.1%

HourCounters Average TurbineOk Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct53
Distinct (%)0.2%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean591.85914
Minimum0
Maximum600
Zeros332
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:35.328507image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile600
Q1600
median600
Q3600
95-th percentile600
Maximum600
Range600
Interquartile range (IQR)0

Descriptive statistics

Standard deviation68.495323
Coefficient of variation (CV)0.11572909
Kurtosis69.365053
Mean591.85914
Median Absolute Deviation (MAD)0
Skewness-8.4266696
Sum15509077
Variance4691.6092
MonotonicityNot monotonic
2025-05-05T17:45:35.404598image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600 25804
98.5%
0 332
 
1.3%
541 10
 
< 0.1%
540 8
 
< 0.1%
312 2
 
< 0.1%
397 1
 
< 0.1%
476 1
 
< 0.1%
226 1
 
< 0.1%
350 1
 
< 0.1%
589 1
 
< 0.1%
Other values (43) 43
 
0.2%
(Missing) 4
 
< 0.1%
ValueCountFrequency (%)
0 332
1.3%
17 1
 
< 0.1%
23 1
 
< 0.1%
28 1
 
< 0.1%
104 1
 
< 0.1%
106 1
 
< 0.1%
108 1
 
< 0.1%
112 1
 
< 0.1%
113 1
 
< 0.1%
115 1
 
< 0.1%
ValueCountFrequency (%)
600 25804
98.5%
593 1
 
< 0.1%
592 1
 
< 0.1%
589 1
 
< 0.1%
587 1
 
< 0.1%
582 1
 
< 0.1%
561 1
 
< 0.1%
558 1
 
< 0.1%
557 1
 
< 0.1%
554 1
 
< 0.1%

HourCounters Average Run Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct126
Distinct (%)0.5%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean585.38635
Minimum0
Maximum600
Zeros580
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:35.483198image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile600
Q1600
median600
Q3600
95-th percentile600
Maximum600
Range600
Interquartile range (IQR)0

Descriptive statistics

Standard deviation90.758551
Coefficient of variation (CV)0.15504043
Kurtosis36.582484
Mean585.38635
Median Absolute Deviation (MAD)0
Skewness-6.185384
Sum15339464
Variance8237.1146
MonotonicityNot monotonic
2025-05-05T17:45:35.560764image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600 25480
97.2%
0 580
 
2.2%
264 3
 
< 0.1%
403 3
 
< 0.1%
404 3
 
< 0.1%
402 3
 
< 0.1%
334 2
 
< 0.1%
419 2
 
< 0.1%
526 2
 
< 0.1%
40 2
 
< 0.1%
Other values (116) 124
 
0.5%
(Missing) 4
 
< 0.1%
ValueCountFrequency (%)
0 580
2.2%
10 1
 
< 0.1%
17 1
 
< 0.1%
18 1
 
< 0.1%
20 1
 
< 0.1%
21 1
 
< 0.1%
23 1
 
< 0.1%
28 1
 
< 0.1%
40 2
 
< 0.1%
48 1
 
< 0.1%
ValueCountFrequency (%)
600 25480
97.2%
597 1
 
< 0.1%
595 1
 
< 0.1%
594 1
 
< 0.1%
593 1
 
< 0.1%
592 2
 
< 0.1%
591 1
 
< 0.1%
587 1
 
< 0.1%
583 1
 
< 0.1%
579 1
 
< 0.1%

HourCounters Average Gen1 Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct458
Distinct (%)1.7%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean245.3193
Minimum0
Maximum600
Zeros15080
Zeros (%)57.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:35.637612image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3600
95-th percentile600
Maximum600
Range600
Interquartile range (IQR)600

Descriptive statistics

Standard deviation291.67159
Coefficient of variation (CV)1.1889468
Kurtosis-1.84374
Mean245.3193
Median Absolute Deviation (MAD)0
Skewness0.37064619
Sum6428347
Variance85072.319
MonotonicityNot monotonic
2025-05-05T17:45:35.716951image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 15080
57.5%
600 10297
39.3%
366 7
 
< 0.1%
576 5
 
< 0.1%
344 5
 
< 0.1%
72 5
 
< 0.1%
21 5
 
< 0.1%
461 5
 
< 0.1%
332 5
 
< 0.1%
38 5
 
< 0.1%
Other values (448) 785
 
3.0%
ValueCountFrequency (%)
0 15080
57.5%
3 3
 
< 0.1%
4 3
 
< 0.1%
5 1
 
< 0.1%
7 1
 
< 0.1%
10 1
 
< 0.1%
11 1
 
< 0.1%
12 1
 
< 0.1%
13 1
 
< 0.1%
14 4
 
< 0.1%
ValueCountFrequency (%)
600 10297
39.3%
597 1
 
< 0.1%
596 2
 
< 0.1%
595 2
 
< 0.1%
593 4
 
< 0.1%
592 1
 
< 0.1%
591 3
 
< 0.1%
590 2
 
< 0.1%
589 1
 
< 0.1%
588 2
 
< 0.1%

HourCounters Average Gen2 Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct588
Distinct (%)2.2%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean244.45573
Minimum0
Maximum600
Zeros14465
Zeros (%)55.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:35.796768image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3600
95-th percentile600
Maximum600
Range600
Interquartile range (IQR)600

Descriptive statistics

Standard deviation285.2213
Coefficient of variation (CV)1.1667605
Kurtosis-1.8099859
Mean244.45573
Median Absolute Deviation (MAD)0
Skewness0.36956808
Sum6405718
Variance81351.192
MonotonicityNot monotonic
2025-05-05T17:45:35.876419image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14465
55.2%
600 9205
35.1%
553 13
 
< 0.1%
565 12
 
< 0.1%
543 12
 
< 0.1%
548 12
 
< 0.1%
572 11
 
< 0.1%
532 11
 
< 0.1%
504 10
 
< 0.1%
523 10
 
< 0.1%
Other values (578) 2443
 
9.3%
ValueCountFrequency (%)
0 14465
55.2%
1 4
 
< 0.1%
2 1
 
< 0.1%
3 1
 
< 0.1%
4 2
 
< 0.1%
5 1
 
< 0.1%
6 3
 
< 0.1%
7 4
 
< 0.1%
8 2
 
< 0.1%
9 5
 
< 0.1%
ValueCountFrequency (%)
600 9205
35.1%
599 3
 
< 0.1%
598 4
 
< 0.1%
597 4
 
< 0.1%
596 3
 
< 0.1%
595 3
 
< 0.1%
594 3
 
< 0.1%
593 2
 
< 0.1%
592 9
 
< 0.1%
591 6
 
< 0.1%

HourCounters Average Yaw Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct255
Distinct (%)1.0%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean23.2147
Minimum0
Maximum600
Zeros11783
Zeros (%)45.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:35.954483image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median13
Q333
95-th percentile89
Maximum600
Range600
Interquartile range (IQR)33

Descriptive statistics

Standard deviation35.478751
Coefficient of variation (CV)1.5282881
Kurtosis37.178318
Mean23.2147
Median Absolute Deviation (MAD)13
Skewness3.9947183
Sum608318
Variance1258.7418
MonotonicityNot monotonic
2025-05-05T17:45:36.032509image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11783
45.0%
14 552
 
2.1%
15 536
 
2.0%
16 528
 
2.0%
13 498
 
1.9%
17 446
 
1.7%
18 418
 
1.6%
12 410
 
1.6%
19 367
 
1.4%
20 335
 
1.3%
Other values (245) 10331
39.4%
ValueCountFrequency (%)
0 11783
45.0%
1 27
 
0.1%
2 24
 
0.1%
3 20
 
0.1%
4 24
 
0.1%
5 16
 
0.1%
6 22
 
0.1%
7 23
 
0.1%
8 25
 
0.1%
9 55
 
0.2%
ValueCountFrequency (%)
600 8
< 0.1%
545 1
 
< 0.1%
524 1
 
< 0.1%
523 1
 
< 0.1%
503 1
 
< 0.1%
472 1
 
< 0.1%
466 1
 
< 0.1%
452 1
 
< 0.1%
430 1
 
< 0.1%
357 1
 
< 0.1%

HourCounters Average ServiceOn Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct30
Distinct (%)0.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2.2924363
Minimum0
Maximum600
Zeros26088
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:36.101628image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum600
Range600
Interquartile range (IQR)0

Descriptive statistics

Standard deviation36.187122
Coefficient of variation (CV)15.785443
Kurtosis259.4332
Mean2.2924363
Median Absolute Deviation (MAD)0
Skewness16.097768
Sum60071
Variance1309.5078
MonotonicityNot monotonic
2025-05-05T17:45:36.163760image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 26088
99.5%
600 87
 
0.3%
203 2
 
< 0.1%
374 1
 
< 0.1%
124 1
 
< 0.1%
68 1
 
< 0.1%
250 1
 
< 0.1%
206 1
 
< 0.1%
6 1
 
< 0.1%
61 1
 
< 0.1%
Other values (20) 20
 
0.1%
(Missing) 4
 
< 0.1%
ValueCountFrequency (%)
0 26088
99.5%
6 1
 
< 0.1%
24 1
 
< 0.1%
43 1
 
< 0.1%
50 1
 
< 0.1%
56 1
 
< 0.1%
61 1
 
< 0.1%
68 1
 
< 0.1%
120 1
 
< 0.1%
124 1
 
< 0.1%
ValueCountFrequency (%)
600 87
0.3%
586 1
 
< 0.1%
567 1
 
< 0.1%
536 1
 
< 0.1%
515 1
 
< 0.1%
512 1
 
< 0.1%
489 1
 
< 0.1%
486 1
 
< 0.1%
459 1
 
< 0.1%
405 1
 
< 0.1%

HourCounters Average AmbientOk Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct87
Distinct (%)0.3%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean591.72768
Minimum0
Maximum600
Zeros319
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:36.237102image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile600
Q1600
median600
Q3600
95-th percentile600
Maximum600
Range600
Interquartile range (IQR)0

Descriptive statistics

Standard deviation68.46508
Coefficient of variation (CV)0.1157037
Kurtosis68.308259
Mean591.72768
Median Absolute Deviation (MAD)0
Skewness-8.347394
Sum15505632
Variance4687.4672
MonotonicityNot monotonic
2025-05-05T17:45:36.449846image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600 25786
98.4%
0 319
 
1.2%
541 3
 
< 0.1%
394 2
 
< 0.1%
40 2
 
< 0.1%
141 2
 
< 0.1%
397 2
 
< 0.1%
194 2
 
< 0.1%
339 2
 
< 0.1%
275 2
 
< 0.1%
Other values (77) 82
 
0.3%
(Missing) 4
 
< 0.1%
ValueCountFrequency (%)
0 319
1.2%
1 1
 
< 0.1%
11 1
 
< 0.1%
20 1
 
< 0.1%
40 2
 
< 0.1%
48 1
 
< 0.1%
53 2
 
< 0.1%
56 1
 
< 0.1%
64 1
 
< 0.1%
73 1
 
< 0.1%
ValueCountFrequency (%)
600 25786
98.4%
597 1
 
< 0.1%
595 1
 
< 0.1%
594 1
 
< 0.1%
591 1
 
< 0.1%
589 1
 
< 0.1%
585 1
 
< 0.1%
580 1
 
< 0.1%
570 1
 
< 0.1%
562 1
 
< 0.1%

HourCounters Average WindOk Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct595
Distinct (%)2.3%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean448.54942
Minimum0
Maximum600
Zeros5461
Zeros (%)20.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:36.526037image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1290.75
median600
Q3600
95-th percentile600
Maximum600
Range600
Interquartile range (IQR)309.25

Descriptive statistics

Standard deviation250.25112
Coefficient of variation (CV)0.55791203
Kurtosis-0.61452699
Mean448.54942
Median Absolute Deviation (MAD)0
Skewness-1.1398402
Sum11753789
Variance62625.621
MonotonicityNot monotonic
2025-05-05T17:45:36.605757image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600 18287
69.8%
0 5461
 
20.8%
586 12
 
< 0.1%
595 11
 
< 0.1%
573 11
 
< 0.1%
589 11
 
< 0.1%
532 10
 
< 0.1%
553 10
 
< 0.1%
28 10
 
< 0.1%
19 10
 
< 0.1%
Other values (585) 2371
 
9.0%
ValueCountFrequency (%)
0 5461
20.8%
1 4
 
< 0.1%
2 4
 
< 0.1%
3 4
 
< 0.1%
4 1
 
< 0.1%
5 4
 
< 0.1%
6 5
 
< 0.1%
7 3
 
< 0.1%
8 3
 
< 0.1%
9 3
 
< 0.1%
ValueCountFrequency (%)
600 18287
69.8%
599 8
 
< 0.1%
598 10
 
< 0.1%
597 8
 
< 0.1%
596 3
 
< 0.1%
595 11
 
< 0.1%
594 6
 
< 0.1%
593 6
 
< 0.1%
592 9
 
< 0.1%
591 5
 
< 0.1%

HourCounters Average AlarmActive Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct129
Distinct (%)0.5%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean14.398947
Minimum0
Maximum600
Zeros25487
Zeros (%)97.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:36.685271image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum600
Range600
Interquartile range (IQR)0

Descriptive statistics

Standard deviation90.037803
Coefficient of variation (CV)6.2530826
Kurtosis37.231366
Mean14.398947
Median Absolute Deviation (MAD)0
Skewness6.2363999
Sum377310
Variance8106.806
MonotonicityNot monotonic
2025-05-05T17:45:36.762359image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 25487
97.2%
600 568
 
2.2%
196 3
 
< 0.1%
198 3
 
< 0.1%
8 3
 
< 0.1%
197 3
 
< 0.1%
199 3
 
< 0.1%
101 2
 
< 0.1%
261 2
 
< 0.1%
74 2
 
< 0.1%
Other values (119) 128
 
0.5%
(Missing) 4
 
< 0.1%
ValueCountFrequency (%)
0 25487
97.2%
3 1
 
< 0.1%
5 1
 
< 0.1%
6 1
 
< 0.1%
7 1
 
< 0.1%
8 3
 
< 0.1%
13 1
 
< 0.1%
16 1
 
< 0.1%
20 1
 
< 0.1%
22 1
 
< 0.1%
ValueCountFrequency (%)
600 568
2.2%
590 1
 
< 0.1%
589 1
 
< 0.1%
583 1
 
< 0.1%
582 1
 
< 0.1%
579 2
 
< 0.1%
576 1
 
< 0.1%
572 1
 
< 0.1%
560 2
 
< 0.1%
552 1
 
< 0.1%

Total hour counter [h]
Real number (ℝ)

High correlation  Uniform 

Distinct4369
Distinct (%)16.7%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.1875068 × 108
Minimum1.108872 × 108
Maximum1.26612 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:36.839294image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.108872 × 108
5-th percentile1.116756 × 108
Q11.148184 × 108
median1.187514 × 108
Q31.226808 × 108
95-th percentile1.258272 × 108
Maximum1.26612 × 108
Range15724800
Interquartile range (IQR)7862400

Descriptive statistics

Standard deviation4539608.9
Coefficient of variation (CV)0.038228068
Kurtosis-1.2000372
Mean1.1875068 × 108
Median Absolute Deviation (MAD)3933000
Skewness-0.00024920502
Sum3.1117427 × 1012
Variance2.0608049 × 1013
MonotonicityIncreasing
2025-05-05T17:45:36.920156image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126608400 6
 
< 0.1%
126604800 6
 
< 0.1%
110890800 6
 
< 0.1%
110894400 6
 
< 0.1%
110898000 6
 
< 0.1%
110901600 6
 
< 0.1%
110905200 6
 
< 0.1%
110908800 6
 
< 0.1%
110912400 6
 
< 0.1%
110916000 6
 
< 0.1%
Other values (4359) 26144
99.8%
ValueCountFrequency (%)
110887200 2
 
< 0.1%
110890800 6
< 0.1%
110894400 6
< 0.1%
110898000 6
< 0.1%
110901600 6
< 0.1%
110905200 6
< 0.1%
110908800 6
< 0.1%
110912400 6
< 0.1%
110916000 6
< 0.1%
110919600 6
< 0.1%
ValueCountFrequency (%)
126612000 4
< 0.1%
126608400 6
< 0.1%
126604800 6
< 0.1%
126601200 6
< 0.1%
126597600 6
< 0.1%
126594000 6
< 0.1%
126590400 6
< 0.1%
126586800 6
< 0.1%
126583200 6
< 0.1%
126579600 6
< 0.1%

Grid on hours [h]
Real number (ℝ)

High correlation  Uniform 

Distinct26204
Distinct (%)100.0%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.0977265 × 108
Minimum1.0190992 × 108
Maximum1.1763504 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:37.000905image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.0190992 × 108
5-th percentile1.0269601 × 108
Q11.0584037 × 108
median1.0977166 × 108
Q31.1370571 × 108
95-th percentile1.1684895 × 108
Maximum1.1763504 × 108
Range15725120
Interquartile range (IQR)7865340

Descriptive statistics

Standard deviation4540442
Coefficient of variation (CV)0.041362234
Kurtosis-1.2005374
Mean1.0977265 × 108
Median Absolute Deviation (MAD)3932820
Skewness5.5777047 × 10-5
Sum2.8764825 × 1012
Variance2.0615614 × 1013
MonotonicityStrictly increasing
2025-05-05T17:45:37.082376image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
112400560 1
 
< 0.1%
112399960 1
 
< 0.1%
112399360 1
 
< 0.1%
112398760 1
 
< 0.1%
112398160 1
 
< 0.1%
112397560 1
 
< 0.1%
112396960 1
 
< 0.1%
112396360 1
 
< 0.1%
112395760 1
 
< 0.1%
112395160 1
 
< 0.1%
Other values (26194) 26194
99.9%
(Missing) 4
 
< 0.1%
ValueCountFrequency (%)
101909920 1
< 0.1%
101910520 1
< 0.1%
101911120 1
< 0.1%
101911720 1
< 0.1%
101912320 1
< 0.1%
101912920 1
< 0.1%
101913520 1
< 0.1%
101914120 1
< 0.1%
101914720 1
< 0.1%
101915320 1
< 0.1%
ValueCountFrequency (%)
117635040 1
< 0.1%
117634440 1
< 0.1%
117633840 1
< 0.1%
117633240 1
< 0.1%
117632640 1
< 0.1%
117632040 1
< 0.1%
117631440 1
< 0.1%
117630840 1
< 0.1%
117630240 1
< 0.1%
117629640 1
< 0.1%

Grid ok hours [h]
Real number (ℝ)

High correlation  Uniform 

Distinct26109
Distinct (%)99.6%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.0654297 × 108
Minimum98707256
Maximum1.1437104 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:37.164670image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum98707256
5-th percentile99493282
Q11.0262689 × 108
median1.0654364 × 108
Q31.1046906 × 108
95-th percentile1.1358495 × 108
Maximum1.1437104 × 108
Range15663784
Interquartile range (IQR)7842172

Descriptive statistics

Standard deviation4524817.3
Coefficient of variation (CV)0.042469413
Kurtosis-1.2019769
Mean1.0654297 × 108
Median Absolute Deviation (MAD)3921236
Skewness-0.001222006
Sum2.7918519 × 1012
Variance2.0473972 × 1013
MonotonicityIncreasing
2025-05-05T17:45:37.247534image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
112014272 24
 
0.1%
104277256 22
 
0.1%
99535416 17
 
0.1%
112693504 15
 
0.1%
107362224 14
 
0.1%
112939208 7
 
< 0.1%
102812368 3
 
< 0.1%
109150360 1
 
< 0.1%
109151560 1
 
< 0.1%
109152160 1
 
< 0.1%
Other values (26099) 26099
99.6%
(Missing) 4
 
< 0.1%
ValueCountFrequency (%)
98707256 1
< 0.1%
98707856 1
< 0.1%
98708456 1
< 0.1%
98709056 1
< 0.1%
98709656 1
< 0.1%
98710256 1
< 0.1%
98710856 1
< 0.1%
98711456 1
< 0.1%
98712056 1
< 0.1%
98712656 1
< 0.1%
ValueCountFrequency (%)
114371040 1
< 0.1%
114370440 1
< 0.1%
114369840 1
< 0.1%
114369240 1
< 0.1%
114368640 1
< 0.1%
114368040 1
< 0.1%
114367440 1
< 0.1%
114366840 1
< 0.1%
114366240 1
< 0.1%
114365640 1
< 0.1%

Turbine ok hours [h]
Real number (ℝ)

High correlation 

Distinct25873
Distinct (%)98.7%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.0590436 × 108
Minimum98095336
Maximum1.1360926 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:37.329608image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum98095336
5-th percentile98881355
Q11.0201473 × 108
median1.0591837 × 108
Q31.0983568 × 108
95-th percentile1.1282317 × 108
Maximum1.1360926 × 108
Range15513920
Interquartile range (IQR)7820952

Descriptive statistics

Standard deviation4493963.2
Coefficient of variation (CV)0.042434164
Kurtosis-1.2126611
Mean1.0590436 × 108
Median Absolute Deviation (MAD)3910624
Skewness-0.014030331
Sum2.775118 × 1012
Variance2.0195705 × 1013
MonotonicityIncreasing
2025-05-05T17:45:37.411689image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
111880376 55
 
0.2%
111831968 47
 
0.2%
111861992 35
 
0.1%
111693352 29
 
0.1%
111932560 25
 
0.1%
111878760 24
 
0.1%
111380952 24
 
0.1%
103652040 22
 
0.1%
103115272 22
 
0.1%
98923496 17
 
0.1%
Other values (25863) 25904
98.8%
ValueCountFrequency (%)
98095336 1
< 0.1%
98095936 1
< 0.1%
98096536 1
< 0.1%
98097136 1
< 0.1%
98097736 1
< 0.1%
98098336 1
< 0.1%
98098936 1
< 0.1%
98099536 1
< 0.1%
98100136 1
< 0.1%
98100736 1
< 0.1%
ValueCountFrequency (%)
113609256 1
< 0.1%
113608656 1
< 0.1%
113608056 1
< 0.1%
113607456 1
< 0.1%
113606856 1
< 0.1%
113606256 1
< 0.1%
113605656 1
< 0.1%
113605056 1
< 0.1%
113604456 1
< 0.1%
113603856 1
< 0.1%

Run hours [h]
Real number (ℝ)

High correlation 

Distinct25624
Distinct (%)97.8%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.0185469 × 108
Minimum94121088
Maximum1.0946493 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:37.491074image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum94121088
5-th percentile94907114
Q198011698
median1.0184604 × 108
Q31.0574048 × 108
95-th percentile1.0868126 × 108
Maximum1.0946493 × 108
Range15343840
Interquartile range (IQR)7728780

Descriptive statistics

Standard deviation4438750.1
Coefficient of variation (CV)0.043579242
Kurtosis-1.2107208
Mean1.0185469 × 108
Median Absolute Deviation (MAD)3865372
Skewness-0.01581871
Sum2.6690002 × 1012
Variance1.9702502 × 1013
MonotonicityIncreasing
2025-05-05T17:45:37.574388image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
101381760 57
 
0.2%
107741152 56
 
0.2%
107697560 55
 
0.2%
107723088 35
 
0.1%
107558944 29
 
0.1%
107792816 26
 
0.1%
107739704 24
 
0.1%
107285528 24
 
0.1%
99642256 22
 
0.1%
101383832 22
 
0.1%
Other values (25614) 25854
98.6%
ValueCountFrequency (%)
94121088 1
< 0.1%
94121688 1
< 0.1%
94122288 1
< 0.1%
94122888 1
< 0.1%
94123488 1
< 0.1%
94124088 1
< 0.1%
94124688 1
< 0.1%
94125288 1
< 0.1%
94125888 1
< 0.1%
94126488 1
< 0.1%
ValueCountFrequency (%)
109464928 1
< 0.1%
109464328 1
< 0.1%
109463728 1
< 0.1%
109463128 1
< 0.1%
109462528 1
< 0.1%
109461928 1
< 0.1%
109461328 1
< 0.1%
109460728 1
< 0.1%
109460128 1
< 0.1%
109459528 1
< 0.1%

Generator 1 hours [h]
Real number (ℝ)

High correlation 

Distinct11124
Distinct (%)42.5%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean40705828
Minimum37331760
Maximum43761144
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:37.655342image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum37331760
5-th percentile37801032
Q138976362
median40859524
Q342254904
95-th percentile43544634
Maximum43761144
Range6429384
Interquartile range (IQR)3278542

Descriptive statistics

Standard deviation1858522.3
Coefficient of variation (CV)0.045657401
Kurtosis-1.1965778
Mean40705828
Median Absolute Deviation (MAD)1593528
Skewness-0.18533729
Sum1.0666555 × 1012
Variance3.4541051 × 1012
MonotonicityIncreasing
2025-05-05T17:45:37.735582image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41400160 714
 
2.7%
37972000 596
 
2.3%
41699528 526
 
2.0%
43641168 496
 
1.9%
37801032 445
 
1.7%
42066048 399
 
1.5%
41510632 371
 
1.4%
42162300 343
 
1.3%
41503296 328
 
1.3%
40592196 322
 
1.2%
Other values (11114) 21664
82.7%
ValueCountFrequency (%)
37331760 56
0.2%
37332264 1
 
< 0.1%
37332864 1
 
< 0.1%
37333464 1
 
< 0.1%
37334064 1
 
< 0.1%
37334664 1
 
< 0.1%
37335264 1
 
< 0.1%
37335864 1
 
< 0.1%
37336464 1
 
< 0.1%
37337064 1
 
< 0.1%
ValueCountFrequency (%)
43761144 87
0.3%
43760592 1
 
< 0.1%
43759992 1
 
< 0.1%
43759392 1
 
< 0.1%
43758792 1
 
< 0.1%
43758192 1
 
< 0.1%
43757592 1
 
< 0.1%
43756992 1
 
< 0.1%
43756392 1
 
< 0.1%
43755792 1
 
< 0.1%

Generator 2 hours [h]
Real number (ℝ)

High correlation 

Distinct11736
Distinct (%)44.8%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean41033775
Minimum37903224
Maximum44308512
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:37.956473image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum37903224
5-th percentile38189044
Q139461952
median40966716
Q342632366
95-th percentile43901336
Maximum44308512
Range6405288
Interquartile range (IQR)3170414

Descriptive statistics

Standard deviation1859638.2
Coefficient of variation (CV)0.045319696
Kurtosis-1.2324588
Mean41033775
Median Absolute Deviation (MAD)1593068
Skewness0.078927713
Sum1.075249 × 1012
Variance3.4582542 × 1012
MonotonicityIncreasing
2025-05-05T17:45:38.037379image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
43696160 341
 
1.3%
39922720 321
 
1.2%
38874548 287
 
1.1%
40698072 267
 
1.0%
39150200 240
 
0.9%
40002284 231
 
0.9%
43901336 225
 
0.9%
42279712 211
 
0.8%
41115028 207
 
0.8%
39828356 199
 
0.8%
Other values (11726) 23675
90.3%
ValueCountFrequency (%)
37903224 1
< 0.1%
37903824 1
< 0.1%
37904424 1
< 0.1%
37905024 1
< 0.1%
37905624 1
< 0.1%
37906224 1
< 0.1%
37906824 1
< 0.1%
37907424 1
< 0.1%
37908024 1
< 0.1%
37908624 1
< 0.1%
ValueCountFrequency (%)
44308512 1
< 0.1%
44307912 1
< 0.1%
44307312 1
< 0.1%
44306712 1
< 0.1%
44306112 1
< 0.1%
44305512 1
< 0.1%
44304912 1
< 0.1%
44304312 1
< 0.1%
44303712 1
< 0.1%
44303112 1
< 0.1%

Yaw hours [h]
Real number (ℝ)

High correlation 

Distinct14422
Distinct (%)55.0%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean4158115.8
Minimum3855097
Maximum4464437
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:38.117066image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum3855097
5-th percentile3883656
Q14007877.8
median4170779
Q34300797.8
95-th percentile4434862.1
Maximum4464437
Range609340
Interquartile range (IQR)292920

Descriptive statistics

Standard deviation177273.19
Coefficient of variation (CV)0.042633057
Kurtosis-1.1524282
Mean4158115.8
Median Absolute Deviation (MAD)147266
Skewness-0.029875307
Sum1.0895927 × 1011
Variance3.1425784 × 1010
MonotonicityIncreasing
2025-05-05T17:45:38.192100image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3892572 113
 
0.4%
4204381 86
 
0.3%
4395429 84
 
0.3%
4326458 78
 
0.3%
4279928 61
 
0.2%
3886154 55
 
0.2%
4394368 54
 
0.2%
3911553 52
 
0.2%
4203081 50
 
0.2%
3905342 48
 
0.2%
Other values (14412) 25523
97.4%
ValueCountFrequency (%)
3855097 7
< 0.1%
3855116 3
 
< 0.1%
3855134 1
 
< 0.1%
3855152 11
< 0.1%
3855172 10
< 0.1%
3855192 5
< 0.1%
3855209 5
< 0.1%
3855225 2
 
< 0.1%
3855239 3
 
< 0.1%
3855254 1
 
< 0.1%
ValueCountFrequency (%)
4464437 1
 
< 0.1%
4464421 5
< 0.1%
4464407 7
< 0.1%
4464392 5
< 0.1%
4464376 1
 
< 0.1%
4464358 3
 
< 0.1%
4464341 11
< 0.1%
4464324 4
 
< 0.1%
4464312 1
 
< 0.1%
4464305 4
 
< 0.1%

Service hours [h]
Real number (ℝ)

High correlation 

Distinct117
Distinct (%)0.4%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3073257.3
Minimum3047140
Maximum3107214
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:38.269106image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum3047140
5-th percentile3047208
Q13057964
median3071291
Q33079916
95-th percentile3107214
Maximum3107214
Range60074
Interquartile range (IQR)21952

Descriptive statistics

Standard deviation16128.827
Coefficient of variation (CV)0.0052481212
Kurtosis-0.27598958
Mean3073257.3
Median Absolute Deviation (MAD)13260
Skewness0.5780841
Sum8.0531635 × 1010
Variance2.6013905 × 108
MonotonicityIncreasing
2025-05-05T17:45:38.346447image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3057964 5176
19.7%
3071291 5140
19.6%
3079916 3845
14.7%
3079670 3418
13.0%
3107214 2387
9.1%
3057305 1717
 
6.6%
3047208 985
 
3.8%
3058031 894
 
3.4%
3094151 550
 
2.1%
3079873 485
 
1.9%
Other values (107) 1607
 
6.1%
ValueCountFrequency (%)
3047140 396
1.5%
3047208 985
3.8%
3047582 1
 
< 0.1%
3048182 1
 
< 0.1%
3048782 1
 
< 0.1%
3049383 1
 
< 0.1%
3049981 1
 
< 0.1%
3050581 1
 
< 0.1%
3051181 1
 
< 0.1%
3051781 1
 
< 0.1%
ValueCountFrequency (%)
3107214 2387
9.1%
3106839 1
 
< 0.1%
3106302 1
 
< 0.1%
3105790 1
 
< 0.1%
3105190 1
 
< 0.1%
3104590 1
 
< 0.1%
3103989 1
 
< 0.1%
3103390 1
 
< 0.1%
3102900 410
 
1.6%
3102494 1
 
< 0.1%

Ambient ok hours [h]
Real number (ℝ)

High correlation 

Distinct25886
Distinct (%)98.8%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.0543706 × 108
Minimum97670432
Maximum1.1318092 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:38.423041image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum97670432
5-th percentile98456458
Q11.0156239 × 108
median1.0541576 × 108
Q31.0931929 × 108
95-th percentile1.1239645 × 108
Maximum1.1318092 × 108
Range15510488
Interquartile range (IQR)7756900

Descriptive statistics

Standard deviation4473790.9
Coefficient of variation (CV)0.042430914
Kurtosis-1.1993303
Mean1.0543706 × 108
Median Absolute Deviation (MAD)3879408
Skewness-0.0027223598
Sum2.7628728 × 1012
Variance2.0014805 × 1013
MonotonicityIncreasing
2025-05-05T17:45:38.504797image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
104950888 57
 
0.2%
110864560 24
 
0.1%
104952984 22
 
0.1%
103211096 22
 
0.1%
100722648 19
 
0.1%
108910832 18
 
0.1%
98498592 17
 
0.1%
111048848 15
 
0.1%
111505000 15
 
0.1%
106234336 14
 
0.1%
Other values (25876) 25981
99.1%
ValueCountFrequency (%)
97670432 1
< 0.1%
97671032 1
< 0.1%
97671632 1
< 0.1%
97672232 1
< 0.1%
97672832 1
< 0.1%
97673432 1
< 0.1%
97674032 1
< 0.1%
97674632 1
< 0.1%
97675232 1
< 0.1%
97675832 1
< 0.1%
ValueCountFrequency (%)
113180920 1
< 0.1%
113180320 1
< 0.1%
113179720 1
< 0.1%
113179120 1
< 0.1%
113178520 1
< 0.1%
113177920 1
< 0.1%
113177320 1
< 0.1%
113176720 1
< 0.1%
113176120 1
< 0.1%
113175520 1
< 0.1%

Wind ok hours [h]
Real number (ℝ)

High correlation 

Distinct20729
Distinct (%)79.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean76962995
Minimum71008496
Maximum82763088
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:38.588114image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum71008496
5-th percentile71745120
Q173926028
median77061760
Q379774674
95-th percentile82214414
Maximum82763088
Range11754592
Interquartile range (IQR)5848646

Descriptive statistics

Standard deviation3373304.6
Coefficient of variation (CV)0.043830214
Kurtosis-1.2011273
Mean76962995
Median Absolute Deviation (MAD)2911140
Skewness-0.061726344
Sum2.0167383 × 1012
Variance1.1379184 × 1013
MonotonicityIncreasing
2025-05-05T17:45:38.667397image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
71962112 139
 
0.5%
79467952 138
 
0.5%
77890464 107
 
0.4%
79467128 103
 
0.4%
82387448 100
 
0.4%
80193336 95
 
0.4%
77939256 93
 
0.4%
77916800 81
 
0.3%
72505328 72
 
0.3%
78195216 72
 
0.3%
Other values (20719) 25204
96.2%
ValueCountFrequency (%)
71008496 1
< 0.1%
71009096 1
< 0.1%
71009696 1
< 0.1%
71010296 1
< 0.1%
71010896 1
< 0.1%
71011496 1
< 0.1%
71012096 1
< 0.1%
71012696 1
< 0.1%
71013296 1
< 0.1%
71013896 1
< 0.1%
ValueCountFrequency (%)
82763088 1
< 0.1%
82762488 1
< 0.1%
82761888 1
< 0.1%
82761288 1
< 0.1%
82760688 1
< 0.1%
82760088 1
< 0.1%
82759488 1
< 0.1%
82758888 1
< 0.1%
82758288 1
< 0.1%
82757688 1
< 0.1%

Production LatestAverage Active Power Gen 0 Avg. [W]
Real number (ℝ)

High correlation  Zeros 

Distinct1916
Distinct (%)7.3%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-355.34865
Minimum-3290
Maximum0
Zeros20175
Zeros (%)77.0%
Negative6029
Negative (%)23.0%
Memory size1.4 MiB
2025-05-05T17:45:38.742982image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3290
5-th percentile-1989
Q10
median0
Q30
95-th percentile0
Maximum0
Range3290
Interquartile range (IQR)0

Descriptive statistics

Standard deviation735.94684
Coefficient of variation (CV)-2.0710557
Kurtosis1.3666183
Mean-355.34865
Median Absolute Deviation (MAD)0
Skewness-1.7594226
Sum-9311556
Variance541617.75
MonotonicityNot monotonic
2025-05-05T17:45:38.820848image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 20175
77.0%
-1 67
 
0.3%
-1856 23
 
0.1%
-111 23
 
0.1%
-1810 20
 
0.1%
-85 20
 
0.1%
-1831 20
 
0.1%
-1903 19
 
0.1%
-1844 18
 
0.1%
-1858 18
 
0.1%
Other values (1906) 5801
 
22.1%
ValueCountFrequency (%)
-3290 1
< 0.1%
-3284 1
< 0.1%
-3223 1
< 0.1%
-3023 1
< 0.1%
-2981 1
< 0.1%
-2903 1
< 0.1%
-2888 1
< 0.1%
-2870 1
< 0.1%
-2856 1
< 0.1%
-2830 1
< 0.1%
ValueCountFrequency (%)
0 20175
77.0%
-1 67
 
0.3%
-10 1
 
< 0.1%
-11 1
 
< 0.1%
-15 1
 
< 0.1%
-18 2
 
< 0.1%
-19 1
 
< 0.1%
-20 1
 
< 0.1%
-22 2
 
< 0.1%
-23 1
 
< 0.1%

Production LatestAverage Active Power Gen 1 Avg. [W]
Real number (ℝ)

High correlation  Zeros 

Distinct10791
Distinct (%)41.2%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean114400.8
Minimum-51
Maximum508448
Zeros15043
Zeros (%)57.4%
Negative1
Negative (%)< 0.1%
Memory size1.4 MiB
2025-05-05T17:45:38.899811image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-51
5-th percentile0
Q10
median0
Q3205237
95-th percentile484657.3
Maximum508448
Range508499
Interquartile range (IQR)205237

Descriptive statistics

Standard deviation162539.22
Coefficient of variation (CV)1.4207875
Kurtosis-0.025323782
Mean114400.8
Median Absolute Deviation (MAD)0
Skewness1.1675412
Sum2.9977584 × 109
Variance2.6418998 × 1010
MonotonicityNot monotonic
2025-05-05T17:45:38.981483image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 15043
57.4%
1 36
 
0.1%
500051 12
 
< 0.1%
500066 8
 
< 0.1%
500064 7
 
< 0.1%
500070 6
 
< 0.1%
500062 6
 
< 0.1%
500065 6
 
< 0.1%
500054 6
 
< 0.1%
500059 6
 
< 0.1%
Other values (10781) 11068
42.2%
ValueCountFrequency (%)
-51 1
 
< 0.1%
0 15043
57.4%
1 36
 
0.1%
63 1
 
< 0.1%
88 1
 
< 0.1%
99 1
 
< 0.1%
171 1
 
< 0.1%
229 1
 
< 0.1%
303 1
 
< 0.1%
304 1
 
< 0.1%
ValueCountFrequency (%)
508448 1
< 0.1%
508421 1
< 0.1%
508408 1
< 0.1%
508399 1
< 0.1%
508381 1
< 0.1%
508380 1
< 0.1%
508368 1
< 0.1%
508313 1
< 0.1%
508222 1
< 0.1%
507547 1
< 0.1%

Production LatestAverage Active Power Gen 2 Avg. [W]
Real number (ℝ)

High correlation  Zeros 

Distinct10979
Distinct (%)41.9%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean17374.715
Minimum-1175
Maximum139117
Zeros14395
Zeros (%)54.9%
Negative156
Negative (%)0.6%
Memory size1.4 MiB
2025-05-05T17:45:39.057341image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-1175
5-th percentile0
Q10
median0
Q328353.75
95-th percentile79781.8
Maximum139117
Range140292
Interquartile range (IQR)28353.75

Descriptive statistics

Standard deviation27770.432
Coefficient of variation (CV)1.5983244
Kurtosis2.1503656
Mean17374.715
Median Absolute Deviation (MAD)0
Skewness1.6943946
Sum4.5528704 × 108
Variance7.7119692 × 108
MonotonicityNot monotonic
2025-05-05T17:45:39.137165image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14395
54.9%
1 73
 
0.3%
25682 4
 
< 0.1%
33008 3
 
< 0.1%
12110 3
 
< 0.1%
8617 3
 
< 0.1%
21653 3
 
< 0.1%
1294 3
 
< 0.1%
19456 3
 
< 0.1%
23486 3
 
< 0.1%
Other values (10969) 11711
44.7%
(Missing) 4
 
< 0.1%
ValueCountFrequency (%)
-1175 1
< 0.1%
-1047 1
< 0.1%
-968 1
< 0.1%
-940 1
< 0.1%
-874 1
< 0.1%
-832 1
< 0.1%
-768 1
< 0.1%
-734 1
< 0.1%
-671 1
< 0.1%
-663 1
< 0.1%
ValueCountFrequency (%)
139117 1
< 0.1%
136878 1
< 0.1%
136089 1
< 0.1%
136067 1
< 0.1%
136062 1
< 0.1%
135958 1
< 0.1%
135924 1
< 0.1%
135891 1
< 0.1%
135868 1
< 0.1%
135640 1
< 0.1%

Production LatestAverage Total Active Power Avg. [W]
Real number (ℝ)

High correlation 

Distinct21876
Distinct (%)83.5%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean131420.16
Minimum-3290
Maximum508448
Zeros2
Zeros (%)< 0.1%
Negative4583
Negative (%)17.5%
Memory size1.4 MiB
2025-05-05T17:45:39.219577image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3290
5-th percentile-1988
Q112024.25
median65181
Q3205510
95-th percentile484657.3
Maximum508448
Range511738
Interquartile range (IQR)193485.75

Descriptive statistics

Standard deviation152988.55
Coefficient of variation (CV)1.1641178
Kurtosis0.11282511
Mean131420.16
Median Absolute Deviation (MAD)66610
Skewness1.1672138
Sum3.4437339 × 109
Variance2.3405498 × 1010
MonotonicityNot monotonic
2025-05-05T17:45:39.440874image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1856 23
 
0.1%
-1903 21
 
0.1%
-111 21
 
0.1%
-85 20
 
0.1%
-1831 20
 
0.1%
-1810 19
 
0.1%
-1858 19
 
0.1%
-1844 18
 
0.1%
-1883 18
 
0.1%
-1840 17
 
0.1%
Other values (21866) 26008
99.2%
ValueCountFrequency (%)
-3290 1
< 0.1%
-3284 1
< 0.1%
-3223 1
< 0.1%
-3023 1
< 0.1%
-2981 1
< 0.1%
-2953 1
< 0.1%
-2944 1
< 0.1%
-2903 1
< 0.1%
-2888 1
< 0.1%
-2870 1
< 0.1%
ValueCountFrequency (%)
508448 1
< 0.1%
508421 1
< 0.1%
508408 1
< 0.1%
508399 1
< 0.1%
508381 1
< 0.1%
508380 1
< 0.1%
508368 1
< 0.1%
508313 1
< 0.1%
508222 1
< 0.1%
507547 1
< 0.1%

Production LatestAverage Reactive Power Gen 0 Avg. [var]
Real number (ℝ)

High correlation  Zeros 

Distinct2223
Distinct (%)8.5%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-281.32232
Minimum-3977
Maximum2036
Zeros20190
Zeros (%)77.0%
Negative4722
Negative (%)18.0%
Memory size1.4 MiB
2025-05-05T17:45:39.517154image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3977
5-th percentile-1926
Q10
median0
Q30
95-th percentile0
Maximum2036
Range6013
Interquartile range (IQR)0

Descriptive statistics

Standard deviation703.63926
Coefficient of variation (CV)-2.5011854
Kurtosis1.9921797
Mean-281.32232
Median Absolute Deviation (MAD)0
Skewness-1.8168423
Sum-7371770
Variance495108.21
MonotonicityNot monotonic
2025-05-05T17:45:39.594193image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 20190
77.0%
283 49
 
0.2%
267 44
 
0.2%
-1 39
 
0.1%
1 36
 
0.1%
284 36
 
0.1%
-1825 19
 
0.1%
-1806 19
 
0.1%
266 17
 
0.1%
-1816 17
 
0.1%
Other values (2213) 5738
 
21.9%
ValueCountFrequency (%)
-3977 1
< 0.1%
-3778 1
< 0.1%
-3571 1
< 0.1%
-3465 1
< 0.1%
-3418 1
< 0.1%
-3274 1
< 0.1%
-3192 1
< 0.1%
-3179 1
< 0.1%
-3175 1
< 0.1%
-3145 1
< 0.1%
ValueCountFrequency (%)
2036 1
< 0.1%
1853 1
< 0.1%
1754 1
< 0.1%
1725 1
< 0.1%
1667 1
< 0.1%
1613 1
< 0.1%
1580 1
< 0.1%
1552 1
< 0.1%
1538 1
< 0.1%
1522 1
< 0.1%

Production LatestAverage Reactive Power Gen 1 Avg. [var]
Real number (ℝ)

High correlation  Zeros 

Distinct207
Distinct (%)0.8%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2.3094566
Minimum-120
Maximum292
Zeros22462
Zeros (%)85.7%
Negative118
Negative (%)0.5%
Memory size1.4 MiB
2025-05-05T17:45:39.671899image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-120
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum292
Range412
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16.453209
Coefficient of variation (CV)7.1242771
Kurtosis73.551858
Mean2.3094566
Median Absolute Deviation (MAD)0
Skewness8.1505093
Sum60517
Variance270.70807
MonotonicityNot monotonic
2025-05-05T17:45:39.747189image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 22462
85.7%
1 2169
 
8.3%
2 604
 
2.3%
3 251
 
1.0%
-1 61
 
0.2%
4 31
 
0.1%
5 13
 
< 0.1%
95 13
 
< 0.1%
103 12
 
< 0.1%
116 11
 
< 0.1%
Other values (197) 577
 
2.2%
ValueCountFrequency (%)
-120 1
< 0.1%
-103 2
< 0.1%
-84 1
< 0.1%
-60 1
< 0.1%
-51 1
< 0.1%
-38 1
< 0.1%
-34 1
< 0.1%
-23 1
< 0.1%
-21 2
< 0.1%
-20 2
< 0.1%
ValueCountFrequency (%)
292 1
< 0.1%
249 1
< 0.1%
245 1
< 0.1%
225 2
< 0.1%
217 1
< 0.1%
216 2
< 0.1%
210 1
< 0.1%
209 1
< 0.1%
208 1
< 0.1%
207 1
< 0.1%

Production LatestAverage Reactive Power Gen 2 Avg. [var]
Real number (ℝ)

High correlation  Zeros 

Distinct642
Distinct (%)2.5%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean17.376622
Minimum-548
Maximum1098
Zeros24006
Zeros (%)91.6%
Negative99
Negative (%)0.4%
Memory size1.4 MiB
2025-05-05T17:45:39.823353image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-548
5-th percentile0
Q10
median0
Q30
95-th percentile118
Maximum1098
Range1646
Interquartile range (IQR)0

Descriptive statistics

Standard deviation80.299856
Coefficient of variation (CV)4.6211431
Kurtosis38.363894
Mean17.376622
Median Absolute Deviation (MAD)0
Skewness5.6669891
Sum455337
Variance6448.0669
MonotonicityNot monotonic
2025-05-05T17:45:39.900871image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 24006
91.6%
1 165
 
0.6%
-1 24
 
0.1%
108 23
 
0.1%
101 16
 
0.1%
100 14
 
0.1%
120 14
 
0.1%
111 14
 
0.1%
87 13
 
< 0.1%
121 13
 
< 0.1%
Other values (632) 1902
 
7.3%
ValueCountFrequency (%)
-548 1
< 0.1%
-461 1
< 0.1%
-435 1
< 0.1%
-376 1
< 0.1%
-368 1
< 0.1%
-351 1
< 0.1%
-320 1
< 0.1%
-300 1
< 0.1%
-286 1
< 0.1%
-254 1
< 0.1%
ValueCountFrequency (%)
1098 1
< 0.1%
1058 1
< 0.1%
1052 1
< 0.1%
1030 1
< 0.1%
1003 1
< 0.1%
963 2
< 0.1%
953 1
< 0.1%
910 2
< 0.1%
904 1
< 0.1%
892 1
< 0.1%

Production LatestAverage Total Reactive Power Avg. [var]
Real number (ℝ)

High correlation  Zeros 

Distinct2370
Distinct (%)9.0%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-261.63624
Minimum-3977
Maximum2409
Zeros16208
Zeros (%)61.8%
Negative4632
Negative (%)17.7%
Memory size1.4 MiB
2025-05-05T17:45:39.978333image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3977
5-th percentile-1925
Q10
median0
Q30
95-th percentile195
Maximum2409
Range6386
Interquartile range (IQR)0

Descriptive statistics

Standard deviation712.00041
Coefficient of variation (CV)-2.7213371
Kurtosis2.0727014
Mean-261.63624
Median Absolute Deviation (MAD)0
Skewness-1.7369858
Sum-6855916
Variance506944.58
MonotonicityNot monotonic
2025-05-05T17:45:40.054118image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16208
61.8%
1 2278
 
8.7%
2 613
 
2.3%
3 246
 
0.9%
-1 101
 
0.4%
283 49
 
0.2%
267 45
 
0.2%
284 35
 
0.1%
4 31
 
0.1%
-1825 19
 
0.1%
Other values (2360) 6579
25.1%
ValueCountFrequency (%)
-3977 1
< 0.1%
-3778 1
< 0.1%
-3571 1
< 0.1%
-3465 1
< 0.1%
-3418 1
< 0.1%
-3274 1
< 0.1%
-3192 1
< 0.1%
-3179 1
< 0.1%
-3175 1
< 0.1%
-3145 1
< 0.1%
ValueCountFrequency (%)
2409 1
< 0.1%
2298 1
< 0.1%
2136 1
< 0.1%
2109 1
< 0.1%
2072 1
< 0.1%
2007 1
< 0.1%
1999 1
< 0.1%
1996 1
< 0.1%
1956 1
< 0.1%
1890 1
< 0.1%

Active power generator 0, Total accumulated [W]
Real number (ℝ)

High correlation 

Distinct5140
Distinct (%)19.6%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-81224.592
Minimum-86231
Maximum-76907
Zeros0
Zeros (%)0.0%
Negative26204
Negative (%)> 99.9%
Memory size1.4 MiB
2025-05-05T17:45:40.132544image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-86231
5-th percentile-85611
Q1-83879
median-80861
Q3-79143
95-th percentile-77000.3
Maximum-76907
Range9324
Interquartile range (IQR)4736

Descriptive statistics

Standard deviation2742.9768
Coefficient of variation (CV)-0.033770275
Kurtosis-1.1594321
Mean-81224.592
Median Absolute Deviation (MAD)2104.5
Skewness-0.26185819
Sum-2.1284092 × 109
Variance7523921.8
MonotonicityDecreasing
2025-05-05T17:45:40.211999image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-76912 849
 
3.2%
-78456 655
 
2.5%
-79343 606
 
2.3%
-80898 449
 
1.7%
-79143 396
 
1.5%
-85482 367
 
1.4%
-82075 349
 
1.3%
-78737 339
 
1.3%
-79480 336
 
1.3%
-80423 321
 
1.2%
Other values (5130) 21537
82.2%
ValueCountFrequency (%)
-86231 38
 
0.1%
-86230 1
 
< 0.1%
-86227 1
 
< 0.1%
-86225 2
 
< 0.1%
-86224 3
 
< 0.1%
-86223 1
 
< 0.1%
-86220 1
 
< 0.1%
-86218 1
 
< 0.1%
-86215 1
 
< 0.1%
-86214 298
1.1%
ValueCountFrequency (%)
-76907 93
 
0.4%
-76908 1
 
< 0.1%
-76910 1
 
< 0.1%
-76911 2
 
< 0.1%
-76912 849
3.2%
-76913 2
 
< 0.1%
-76914 1
 
< 0.1%
-76915 4
 
< 0.1%
-76917 1
 
< 0.1%
-76919 1
 
< 0.1%

Active power generator 1, Total accumulated [W]
Real number (ℝ)

High correlation 

Distinct11109
Distinct (%)42.4%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean19852769
Minimum18241148
Maximum21239132
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:40.288338image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum18241148
5-th percentile18449448
Q118969703
median19942534
Q320637216
95-th percentile21170505
Maximum21239132
Range2997984
Interquartile range (IQR)1667513

Descriptive statistics

Standard deviation905579.21
Coefficient of variation (CV)0.045614756
Kurtosis-1.2852291
Mean19852769
Median Absolute Deviation (MAD)791274
Skewness-0.24042684
Sum5.2022196 × 1011
Variance8.2007371 × 1011
MonotonicityIncreasing
2025-05-05T17:45:40.366833image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20248196 714
 
2.7%
18501098 596
 
2.3%
20398116 527
 
2.0%
21205352 496
 
1.9%
18449448 445
 
1.7%
20545856 399
 
1.5%
20309098 371
 
1.4%
20597092 343
 
1.3%
20307792 330
 
1.3%
19800760 322
 
1.2%
Other values (11099) 21661
82.7%
ValueCountFrequency (%)
18241148 56
0.2%
18241232 1
 
< 0.1%
18241348 1
 
< 0.1%
18241486 1
 
< 0.1%
18241628 1
 
< 0.1%
18241732 1
 
< 0.1%
18241808 1
 
< 0.1%
18241892 1
 
< 0.1%
18241990 1
 
< 0.1%
18242084 1
 
< 0.1%
ValueCountFrequency (%)
21239132 87
0.3%
21239072 1
 
< 0.1%
21238998 1
 
< 0.1%
21238896 1
 
< 0.1%
21238792 1
 
< 0.1%
21238696 1
 
< 0.1%
21238608 1
 
< 0.1%
21238504 1
 
< 0.1%
21238384 1
 
< 0.1%
21238244 1
 
< 0.1%

Active power generator 2, Total accumulated [W]
Real number (ℝ)

High correlation 

Distinct11376
Distinct (%)43.4%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2773827.1
Minimum2546332
Maximum3001594
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:40.447131image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2546332
5-th percentile2572392
Q12661145
median2772681.5
Q32883167.2
95-th percentile2975126
Maximum3001594
Range455262
Interquartile range (IQR)222022.25

Descriptive statistics

Standard deviation130982.17
Coefficient of variation (CV)0.04722074
Kurtosis-1.2247526
Mean2773827.1
Median Absolute Deviation (MAD)111437
Skewness0.024696423
Sum7.2685365 × 1010
Variance1.7156328 × 1010
MonotonicityNot monotonic
2025-05-05T17:45:40.526550image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2958260 341
 
1.3%
2699551 321
 
1.2%
2620949 287
 
1.1%
2751583 267
 
1.0%
2637732 240
 
0.9%
2704391 231
 
0.9%
2975126 225
 
0.9%
2861561 211
 
0.8%
2786594 207
 
0.8%
2693044 199
 
0.8%
Other values (11366) 23675
90.3%
ValueCountFrequency (%)
2546332 1
< 0.1%
2546350 1
< 0.1%
2546376 1
< 0.1%
2546402 1
< 0.1%
2546430 1
< 0.1%
2546461 1
< 0.1%
2546489 1
< 0.1%
2546519 1
< 0.1%
2546564 1
< 0.1%
2546612 1
< 0.1%
ValueCountFrequency (%)
3001594 1
< 0.1%
3001552 1
< 0.1%
3001504 1
< 0.1%
3001450 1
< 0.1%
3001389 1
< 0.1%
3001312 1
< 0.1%
3001227 1
< 0.1%
3001149 1
< 0.1%
3001066 1
< 0.1%
3000975 1
< 0.1%

Total Active power [W]
Real number (ℝ)

High correlation 

Distinct23086
Distinct (%)88.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean22545372
Minimum20710574
Maximum24154492
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:40.604492image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum20710574
5-th percentile20944881
Q121551704
median22634354
Q323436505
95-th percentile24060019
Maximum24154492
Range3443918
Interquartile range (IQR)1884801

Descriptive statistics

Standard deviation1032693.1
Coefficient of variation (CV)0.045805103
Kurtosis-1.2795342
Mean22545372
Median Absolute Deviation (MAD)913421
Skewness-0.209435
Sum5.9077892 × 1011
Variance1.0664549 × 1012
MonotonicityNot monotonic
2025-05-05T17:45:40.685031image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23782160 25
 
0.1%
23782152 24
 
0.1%
23782156 22
 
0.1%
23776996 20
 
0.1%
23777132 19
 
0.1%
23776992 17
 
0.1%
23776994 12
 
< 0.1%
23795204 11
 
< 0.1%
23782158 10
 
< 0.1%
23777130 10
 
< 0.1%
Other values (23076) 26034
99.3%
ValueCountFrequency (%)
20710574 1
< 0.1%
20710592 1
< 0.1%
20710618 1
< 0.1%
20710644 1
< 0.1%
20710672 1
< 0.1%
20710704 1
< 0.1%
20710732 1
< 0.1%
20710760 1
< 0.1%
20710806 1
< 0.1%
20710854 1
< 0.1%
ValueCountFrequency (%)
24154492 1
< 0.1%
24154452 1
< 0.1%
24154404 1
< 0.1%
24154348 1
< 0.1%
24154288 1
< 0.1%
24154212 1
< 0.1%
24154128 1
< 0.1%
24154048 1
< 0.1%
24153966 1
< 0.1%
24153876 1
< 0.1%

Reactive power generator 0,Total accumulated [var]
Real number (ℝ)

High correlation 

Distinct4244
Distinct (%)16.2%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean15668.726
Minimum11746
Maximum19134
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:40.765021image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum11746
5-th percentile12255
Q113464.75
median15978
Q317321
95-th percentile19063.7
Maximum19134
Range7388
Interquartile range (IQR)3856.25

Descriptive statistics

Standard deviation2184.6114
Coefficient of variation (CV)0.13942495
Kurtosis-1.1898708
Mean15668.726
Median Absolute Deviation (MAD)1671
Skewness-0.24016072
Sum4.105833 × 108
Variance4772527
MonotonicityNot monotonic
2025-05-05T17:45:40.844038image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15958 894
 
3.4%
19130 782
 
3.0%
17859 707
 
2.7%
17167 607
 
2.3%
17321 497
 
1.9%
16981 466
 
1.8%
14919 407
 
1.6%
17056 401
 
1.5%
12360 365
 
1.4%
17274 359
 
1.4%
Other values (4234) 20719
79.1%
ValueCountFrequency (%)
11746 38
 
0.1%
11747 1
 
< 0.1%
11748 4
 
< 0.1%
11749 3
 
< 0.1%
11752 1
 
< 0.1%
11754 1
 
< 0.1%
11755 299
1.1%
11758 1
 
< 0.1%
11761 1
 
< 0.1%
11763 1
 
< 0.1%
ValueCountFrequency (%)
19134 1
 
< 0.1%
19133 5
 
< 0.1%
19132 2
 
< 0.1%
19131 74
 
0.3%
19130 782
3.0%
19129 94
 
0.4%
19128 1
 
< 0.1%
19126 1
 
< 0.1%
19125 1
 
< 0.1%
19123 1
 
< 0.1%

Reactive power generator 1, Total accumulated [var]
Real number (ℝ)

High correlation 

Distinct61
Distinct (%)0.2%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean383.33682
Minimum352
Maximum412
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:41.066274image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum352
5-th percentile356
Q1369
median385
Q3397
95-th percentile411
Maximum412
Range60
Interquartile range (IQR)28

Descriptive statistics

Standard deviation17.585075
Coefficient of variation (CV)0.045873692
Kurtosis-1.1342499
Mean383.33682
Median Absolute Deviation (MAD)14
Skewness-0.12094133
Sum10044958
Variance309.23487
MonotonicityIncreasing
2025-05-05T17:45:41.144219image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
358 1077
 
4.1%
412 1042
 
4.0%
396 1032
 
3.9%
380 1009
 
3.8%
390 882
 
3.4%
375 872
 
3.3%
389 844
 
3.2%
361 763
 
2.9%
399 681
 
2.6%
393 679
 
2.6%
Other values (51) 17323
66.1%
ValueCountFrequency (%)
352 114
 
0.4%
353 414
 
1.6%
354 318
 
1.2%
355 375
 
1.4%
356 644
2.5%
357 399
 
1.5%
358 1077
4.1%
359 469
1.8%
360 246
 
0.9%
361 763
2.9%
ValueCountFrequency (%)
412 1042
4.0%
411 511
1.9%
410 398
 
1.5%
409 436
1.7%
408 149
 
0.6%
407 366
 
1.4%
406 571
2.2%
405 96
 
0.4%
404 114
 
0.4%
403 452
1.7%

Reactive power generator 2, Total accumulated [var]
Real number (ℝ)

High correlation 

Distinct456
Distinct (%)1.7%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3872.1894
Minimum3655
Maximum4110
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:41.223269image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum3655
5-th percentile3665
Q13766
median3872
Q33988.25
95-th percentile4081
Maximum4110
Range455
Interquartile range (IQR)222.25

Descriptive statistics

Standard deviation134.27814
Coefficient of variation (CV)0.034677576
Kurtosis-1.1765331
Mean3872.1894
Median Absolute Deviation (MAD)109
Skewness0.14590325
Sum1.0146685 × 108
Variance18030.619
MonotonicityIncreasing
2025-05-05T17:45:41.302635image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3877 554
 
2.1%
3658 468
 
1.8%
3726 460
 
1.8%
4070 421
 
1.6%
3845 410
 
1.6%
4081 391
 
1.5%
3783 368
 
1.4%
3789 368
 
1.4%
4075 367
 
1.4%
3742 358
 
1.4%
Other values (446) 22039
84.1%
ValueCountFrequency (%)
3655 94
 
0.4%
3656 2
 
< 0.1%
3657 255
1.0%
3658 468
1.8%
3659 128
 
0.5%
3660 5
 
< 0.1%
3661 5
 
< 0.1%
3662 10
 
< 0.1%
3663 3
 
< 0.1%
3664 338
1.3%
ValueCountFrequency (%)
4110 42
 
0.2%
4109 7
 
< 0.1%
4108 297
1.1%
4107 33
 
0.1%
4106 5
 
< 0.1%
4105 113
 
0.4%
4104 121
0.5%
4103 16
 
0.1%
4102 12
 
< 0.1%
4101 2
 
< 0.1%

Total reactive power [var]
Real number (ℝ)

High correlation 

Distinct4065
Distinct (%)15.5%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean19924.862
Minimum16269
Maximum23151
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:41.380731image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum16269
5-th percentile16747
Q117853
median20238
Q321457
95-th percentile23085.7
Maximum23151
Range6882
Interquartile range (IQR)3604

Descriptive statistics

Standard deviation2033.6346
Coefficient of variation (CV)0.10206518
Kurtosis-1.1909512
Mean19924.862
Median Absolute Deviation (MAD)1517
Skewness-0.24887677
Sum5.2211107 × 108
Variance4135669.5
MonotonicityNot monotonic
2025-05-05T17:45:41.459258image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20222 463
 
1.8%
16747 398
 
1.5%
21947 375
 
1.4%
19219 350
 
1.3%
16275 296
 
1.1%
23143 284
 
1.1%
21152 263
 
1.0%
20221 254
 
1.0%
16787 248
 
0.9%
21055 248
 
0.9%
Other values (4055) 23025
87.9%
ValueCountFrequency (%)
16269 38
 
0.1%
16270 5
 
< 0.1%
16271 1
 
< 0.1%
16272 2
 
< 0.1%
16273 1
 
< 0.1%
16275 296
1.1%
16276 3
 
< 0.1%
16277 1
 
< 0.1%
16278 1
 
< 0.1%
16281 1
 
< 0.1%
ValueCountFrequency (%)
23151 1
 
< 0.1%
23150 1
 
< 0.1%
23149 3
 
< 0.1%
23148 3
 
< 0.1%
23147 3
 
< 0.1%
23146 23
 
0.1%
23145 65
 
0.2%
23144 49
 
0.2%
23143 284
1.1%
23142 178
0.7%

System Logs First Active Alarm No
Real number (ℝ)

High correlation  Zeros 

Distinct17
Distinct (%)0.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean10.674325
Minimum0
Maximum808
Zeros25487
Zeros (%)97.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:41.523474image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum808
Range808
Interquartile range (IQR)0

Descriptive statistics

Standard deviation78.650184
Coefficient of variation (CV)7.3681649
Kurtosis81.410093
Mean10.674325
Median Absolute Deviation (MAD)0
Skewness8.8162501
Sum279710
Variance6185.8514
MonotonicityNot monotonic
2025-05-05T17:45:41.581441image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 25487
97.2%
144 264
 
1.0%
808 178
 
0.7%
220 101
 
0.4%
502 42
 
0.2%
224 34
 
0.1%
731 25
 
0.1%
505 22
 
0.1%
276 20
 
0.1%
356 9
 
< 0.1%
Other values (7) 22
 
0.1%
ValueCountFrequency (%)
0 25487
97.2%
127 1
 
< 0.1%
144 264
 
1.0%
182 3
 
< 0.1%
220 101
 
0.4%
222 6
 
< 0.1%
224 34
 
0.1%
276 20
 
0.1%
309 2
 
< 0.1%
315 1
 
< 0.1%
ValueCountFrequency (%)
808 178
0.7%
731 25
 
0.1%
675 5
 
< 0.1%
632 4
 
< 0.1%
505 22
 
0.1%
502 42
 
0.2%
356 9
 
< 0.1%
315 1
 
< 0.1%
309 2
 
< 0.1%
276 20
 
0.1%

First Alarm parameter 1 in 10 min frame
Real number (ℝ)

High correlation  Zeros 

Distinct14
Distinct (%)0.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2.6099832
Minimum0
Maximum273
Zeros25719
Zeros (%)98.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:45:41.634649image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum273
Range273
Interquartile range (IQR)0

Descriptive statistics

Standard deviation25.289639
Coefficient of variation (CV)9.6895793
Kurtosis92.081919
Mean2.6099832
Median Absolute Deviation (MAD)0
Skewness9.6898202
Sum68392
Variance639.56585
MonotonicityNot monotonic
2025-05-05T17:45:41.684817image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 25719
98.1%
251 261
 
1.0%
1 182
 
0.7%
10 25
 
0.1%
40 4
 
< 0.1%
273 3
 
< 0.1%
148 2
 
< 0.1%
119 2
 
< 0.1%
223 1
 
< 0.1%
226 1
 
< 0.1%
Other values (4) 4
 
< 0.1%
(Missing) 4
 
< 0.1%
ValueCountFrequency (%)
0 25719
98.1%
1 182
 
0.7%
2 1
 
< 0.1%
10 25
 
0.1%
40 4
 
< 0.1%
81 1
 
< 0.1%
119 2
 
< 0.1%
148 2
 
< 0.1%
200 1
 
< 0.1%
204 1
 
< 0.1%
ValueCountFrequency (%)
273 3
 
< 0.1%
251 261
1.0%
226 1
 
< 0.1%
223 1
 
< 0.1%
204 1
 
< 0.1%
200 1
 
< 0.1%
148 2
 
< 0.1%
119 2
 
< 0.1%
81 1
 
< 0.1%
40 4
 
< 0.1%

First Alarm parameter 2 in 10 min frame
Real number (ℝ)

High correlation  Skewed  Zeros 

Distinct25
Distinct (%)0.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.12566784
Minimum-210
Maximum577
Zeros26164
Zeros (%)99.8%
Negative10
Negative (%)< 0.1%
Memory size1.4 MiB
2025-05-05T17:45:41.741385image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-210
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum577
Range787
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.7702866
Coefficient of variation (CV)53.874458
Kurtosis3920.3168
Mean0.12566784
Median Absolute Deviation (MAD)0
Skewness56.704023
Sum3293
Variance45.836781
MonotonicityNot monotonic
2025-05-05T17:45:41.805878image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 26164
99.8%
41 4
 
< 0.1%
11 4
 
< 0.1%
-6 3
 
< 0.1%
1 3
 
< 0.1%
-2 2
 
< 0.1%
-12 2
 
< 0.1%
301 2
 
< 0.1%
338 2
 
< 0.1%
35 2
 
< 0.1%
Other values (15) 16
 
0.1%
(Missing) 4
 
< 0.1%
ValueCountFrequency (%)
-210 1
 
< 0.1%
-14 1
 
< 0.1%
-12 2
 
< 0.1%
-7 1
 
< 0.1%
-6 3
 
< 0.1%
-2 2
 
< 0.1%
0 26164
99.8%
1 3
 
< 0.1%
3 1
 
< 0.1%
10 2
 
< 0.1%
ValueCountFrequency (%)
577 1
 
< 0.1%
481 1
 
< 0.1%
338 2
< 0.1%
301 2
< 0.1%
221 1
 
< 0.1%
213 1
 
< 0.1%
206 1
 
< 0.1%
181 1
 
< 0.1%
43 1
 
< 0.1%
41 4
< 0.1%

missing_data
Boolean

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.2 MiB
False
26204 
True
 
4
ValueCountFrequency (%)
False 26204
> 99.9%
True 4
 
< 0.1%
2025-05-05T17:45:41.851614image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Correlations

2025-05-05T17:45:41.996222image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Active power generator 0, Total accumulated [W]Active power generator 1, Total accumulated [W]Active power generator 2, Total accumulated [W]Active power limit [W]Active power limit sourceAmbient Temp. Avg. [°C]Ambient WindDir Absolute Avg. [°]Ambient WindDir Relative Avg. [°]Ambient WindSpeed Avg. [m/s]Ambient WindSpeed Max. [m/s]Ambient WindSpeed Min. [m/s]Ambient WindSpeed StdDev [m/s]Ambient ok hours [h]Avg. direction [°]Blades PitchAngle Avg. [°]Blades PitchAngle Max. [°]Blades PitchAngle Min. [°]Blades PitchAngle StdDev [°]Controller Ground Temp. Avg. [°C]Controller Hub Temp. Avg. [°C]Controller Top Temp. Avg. [°C]Controller VCP ChokecoilTemp. Avg. [°C]Controller VCP Temp. Avg. [°C]Controller VCP WaterTemp. Avg. [°C]First Alarm parameter 1 in 10 min frameFirst Alarm parameter 2 in 10 min frameGear Bearing TemperatureHSGeneratorEnd Avg. [°C]Gear Bearing TemperatureHSMiddle Avg. [°C]Gear Bearing TemperatureHSRotorEnd Avg. [°C]Gear Bearing TemperatureHollowShaftGenerator Avg. [°C]Gear Bearing TemperatureHollowShaftRotor Avg. [°C]Gear Oil TemperatureBasis Avg. [°C]Gear Oil TemperatureLevel1 Avg. [°C]Generator 1 hours [h]Generator 2 hours [h]Generator Bearing Temp. Avg. [°C]Generator Bearing2 Temp. Avg. [°C]Generator CoolingWater Temp. Avg. [°C]Generator Phase1 Temp. Avg. [°C]Generator Phase2 Temp. Avg. [°C]Generator Phase3 Temp. Avg. [°C]Generator RPM Avg. [RPM]Generator RPM Max. [RPM]Generator RPM Min. [RPM]Generator RPM StdDev [RPM]Generator SlipRing Temp. Avg. [°C]Grid Busbar Temp. Avg. [°C]Grid InverterPhase1 Temp. Avg. [°C]Grid Production CosPhi Avg.Grid Production CurrentPhase1 Avg. [A]Grid Production CurrentPhase2 Avg. [A]Grid Production CurrentPhase3 Avg. [A]Grid Production Frequency Avg. [Hz]Grid Production PossiblePower Avg. [W]Grid Production PossiblePower Max. [W]Grid Production PossiblePower Min. [W]Grid Production PossiblePower StdDev [W]Grid Production Power Avg. [W]Grid Production Power Max. [W]Grid Production Power Min. [W]Grid Production Power StdDev [W]Grid Production ReactivePower Avg. [W]Grid Production ReactivePower Max. [W]Grid Production ReactivePower Min. [W]Grid Production ReactivePower StdDev [W]Grid Production VoltagePhase1 Avg. [V]Grid Production VoltagePhase2 Avg. [V]Grid Production VoltagePhase3 Avg. [V]Grid RotorInvPhase1 Temp. Avg. [°C]Grid RotorInvPhase2 Temp. Avg. [°C]Grid RotorInvPhase3 Temp. Avg. [°C]Grid ok hours [h]Grid on hours [h]HVTrafo AirOutlet Temp. Avg. [°C]HVTrafo Phase1 Temp. Avg. [°C]HVTrafo Phase2 Temp. Avg. [°C]HVTrafo Phase3 Temp. Avg. [°C]HourCounters Average AlarmActive Avg. [h]HourCounters Average AmbientOk Avg. [h]HourCounters Average Gen1 Avg. [h]HourCounters Average Gen2 Avg. [h]HourCounters Average GridOk Avg. [h]HourCounters Average GridOn Avg. [h]HourCounters Average Run Avg. [h]HourCounters Average ServiceOn Avg. [h]HourCounters Average TurbineOk Avg. [h]HourCounters Average WindOk Avg. [h]HourCounters Average Yaw Avg. [h]Hydraulic Oil Temp. Avg. [°C]Nacelle Temp. Avg. [°C]Power factor set pointPower factor set point sourceProduction LatestAverage Active Power Gen 0 Avg. [W]Production LatestAverage Active Power Gen 1 Avg. [W]Production LatestAverage Active Power Gen 2 Avg. [W]Production LatestAverage Reactive Power Gen 0 Avg. [var]Production LatestAverage Reactive Power Gen 1 Avg. [var]Production LatestAverage Reactive Power Gen 2 Avg. [var]Production LatestAverage Total Active Power Avg. [W]Production LatestAverage Total Reactive Power Avg. [var]Reactive power generator 0,Total accumulated [var]Reactive power generator 1, Total accumulated [var]Reactive power generator 2, Total accumulated [var]Rotor RPM Avg. [RPM]Rotor RPM Max. [RPM]Rotor RPM Min. [RPM]Rotor RPM StdDev [RPM]Run hours [h]Service hours [h]Spinner Temp. Avg. [°C]System Logs First Active Alarm NoTotal Active power [W]Total hour counter [h]Total reactive power [var]Turbine ok hours [h]Wind ok hours [h]Yaw hours [h]missing_data
Active power generator 0, Total accumulated [W]1.000-1.000-1.0000.0070.023-0.764-0.081-0.0690.0610.0650.0590.063-1.000-0.072-0.010-0.023-0.0060.062-0.733-0.723-0.596-0.130-0.530-0.254-0.085-0.0020.0460.0550.0600.0650.0600.058-0.125-1.000-1.000-0.124-0.187-0.270-0.007-0.000-0.0030.0810.0860.0720.025-0.415-0.361-0.1520.0650.0800.0770.0800.0250.0750.0760.0860.0540.1030.1040.0640.0900.0080.065-0.0920.0420.1040.1830.151-0.131-0.156-0.156-1.000-1.000-0.073-0.199-0.178-0.207-0.0890.0200.072-0.0300.0160.0250.090-0.0140.1030.0460.0340.222-0.5390.0230.0230.0780.085-0.0190.0050.068-0.0190.1030.0361.000-1.000-1.0000.0790.0840.0700.018-1.000-0.989-0.715-0.090-1.000-1.0001.000-1.000-1.000-1.0001.000
Active power generator 1, Total accumulated [W]-1.0001.0001.000-0.0070.0100.7630.0810.069-0.061-0.065-0.059-0.0631.0000.0730.0100.0230.006-0.0620.7330.7220.5960.1310.5300.2540.0840.003-0.046-0.055-0.059-0.065-0.059-0.0570.1261.0001.0000.1230.1870.2710.0080.0010.004-0.081-0.086-0.072-0.0260.4150.3620.152-0.064-0.080-0.077-0.0800.024-0.075-0.076-0.086-0.054-0.103-0.104-0.064-0.090-0.008-0.0640.092-0.042-0.105-0.183-0.1510.1310.1560.1561.0001.0000.0730.1990.1790.2070.089-0.021-0.0720.031-0.017-0.025-0.0890.015-0.103-0.046-0.034-0.2210.5390.0100.010-0.077-0.0850.019-0.005-0.0680.019-0.103-0.036-1.0001.0001.000-0.078-0.084-0.070-0.0181.0000.9890.7140.0901.0001.000-0.9991.0001.0001.0001.000
Active power generator 2, Total accumulated [W]-1.0001.0001.000-0.0070.0180.7640.0810.069-0.061-0.065-0.059-0.0631.0000.0730.0100.0230.006-0.0620.7330.7220.5960.1300.5300.2540.0840.003-0.046-0.055-0.059-0.065-0.059-0.0570.1251.0001.0000.1240.1870.2700.0070.0000.003-0.081-0.085-0.072-0.0250.4150.3620.152-0.064-0.080-0.077-0.0800.023-0.076-0.076-0.086-0.054-0.103-0.104-0.064-0.089-0.008-0.0640.092-0.042-0.104-0.183-0.1510.1310.1560.1561.0001.0000.0730.1990.1780.2070.089-0.020-0.0720.031-0.016-0.025-0.0890.014-0.103-0.046-0.034-0.2220.5390.0180.018-0.078-0.0850.019-0.005-0.0680.019-0.103-0.036-1.0001.0001.000-0.079-0.084-0.070-0.0181.0000.9890.7150.0891.0001.000-0.9991.0001.0001.0001.000
Active power limit [W]0.007-0.007-0.0071.0000.5770.0220.012-0.012-0.039-0.040-0.031-0.052-0.0070.013-0.117-0.120-0.1160.0620.0400.0360.0280.1130.0470.092-0.2620.0010.1180.1180.1170.1180.1180.1200.152-0.007-0.0070.0850.0870.1000.1110.1110.1110.1010.0880.1030.0110.0640.0750.0990.1140.0950.0980.0950.183-0.044-0.030-0.0350.0530.0940.0900.0800.0880.0940.0500.080-0.077-0.028-0.034-0.0220.1010.0990.099-0.007-0.007-0.0260.0750.0740.081-0.3380.4390.0560.0600.2780.3060.353-0.2380.1690.0860.0080.0140.0590.5770.5770.1380.0510.0550.1000.0130.0070.0950.0820.008-0.007-0.0070.1020.0880.1030.012-0.007-0.0060.020-0.334-0.007-0.0070.008-0.007-0.007-0.0071.000
Active power limit source0.0230.0100.0180.5771.0000.0320.0020.0140.0000.0000.2230.0000.0170.0510.1100.2230.2230.0000.4470.4470.4490.4470.4480.4470.0000.0000.4470.4470.4470.4480.4480.4470.4500.0170.0180.4470.4470.4470.4470.4470.4470.0390.0440.2230.0000.4470.4470.4470.0420.0000.0000.0000.4490.0000.0060.0000.0370.0000.4470.0310.0000.0000.0000.0000.0000.3160.3160.3160.4470.4470.4470.0170.0170.4510.4470.4470.4470.0000.1610.0000.0000.2310.5290.0890.2200.1200.0210.0000.4480.3160.9000.9000.0000.0000.0000.0000.0000.0000.0000.0000.0220.0170.0230.0390.0440.2230.0000.0160.1410.4470.0000.0110.0170.0220.0160.0180.0201.000
Ambient Temp. Avg. [°C]-0.7640.7630.7640.0220.0321.0000.0630.064-0.175-0.187-0.152-0.1770.7640.0480.1170.1470.082-0.1090.8720.8980.6790.0630.5980.2230.0560.001-0.147-0.158-0.162-0.164-0.155-0.1600.1200.7630.764-0.0090.1060.249-0.098-0.106-0.102-0.187-0.195-0.167-0.0850.5040.3350.089-0.176-0.183-0.181-0.1840.036-0.190-0.200-0.172-0.204-0.208-0.217-0.148-0.231-0.092-0.1420.0410.009-0.121-0.169-0.1410.0660.0990.1000.7640.764-0.0490.1140.0840.1240.065-0.002-0.1710.046-0.029-0.024-0.0660.027-0.097-0.163-0.115-0.1370.6740.0320.032-0.185-0.1670.021-0.089-0.0930.032-0.207-0.106-0.7630.7630.764-0.187-0.193-0.167-0.0680.7640.7830.8980.0660.7640.764-0.7630.7640.7640.7641.000
Ambient WindDir Absolute Avg. [°]-0.0810.0810.0810.0120.0020.0631.000-0.015-0.027-0.0470.001-0.0880.0810.884-0.022-0.002-0.053-0.0220.1120.0970.0480.0160.038-0.019-0.057-0.011-0.024-0.022-0.026-0.027-0.033-0.0280.0080.0810.0810.015-0.028-0.015-0.035-0.034-0.035-0.029-0.0450.011-0.079-0.001-0.009-0.0170.034-0.028-0.027-0.0270.000-0.036-0.048-0.017-0.048-0.029-0.043-0.004-0.0520.010-0.0710.098-0.0830.004-0.014-0.017-0.026-0.024-0.0250.0810.081-0.083-0.041-0.042-0.033-0.0170.005-0.0550.089-0.0410.0130.0180.049-0.0080.017-0.041-0.0340.0320.0020.0020.039-0.0530.0670.019-0.032-0.022-0.029-0.011-0.0800.0800.081-0.026-0.0450.010-0.0810.0810.0970.083-0.0170.0810.081-0.0780.0810.0810.0811.000
Ambient WindDir Relative Avg. [°]-0.0690.0690.069-0.0120.0140.064-0.0151.000-0.0120.009-0.0450.0500.069-0.011-0.050-0.074-0.0270.0280.0750.0530.0300.0160.0350.008-0.0390.005-0.003-0.003-0.006-0.006-0.004-0.0040.0130.0690.0690.0120.0220.0180.0030.0030.003-0.0040.009-0.0230.1080.0090.0270.0010.020-0.007-0.007-0.0070.000-0.0130.001-0.0450.051-0.014-0.000-0.0410.0470.0270.054-0.033-0.007-0.006-0.012-0.0150.0030.0040.0050.0690.069-0.0520.0070.0070.009-0.015-0.006-0.0230.050-0.0310.0010.0150.0330.0100.0150.123-0.0250.0260.0140.0140.017-0.0380.0610.020-0.0120.029-0.0140.010-0.0690.0690.069-0.0040.009-0.0220.1050.0690.0690.048-0.0150.0690.069-0.0690.0690.0690.0691.000
Ambient WindSpeed Avg. [m/s]0.061-0.061-0.061-0.0390.000-0.175-0.027-0.0121.0000.9770.9470.778-0.061-0.025-0.343-0.383-0.2660.345-0.149-0.3620.2200.7760.4760.7470.1100.0220.9270.9210.9290.9170.8860.9190.541-0.061-0.0610.7530.8130.6910.9090.9080.9080.9260.9170.8640.1350.4130.6820.8220.6470.9360.9350.9360.0000.9950.9750.9240.7440.9360.9230.8570.7300.3390.4220.175-0.1160.1200.1350.2640.8600.8310.824-0.061-0.0610.5170.7800.7870.7740.082-0.1320.816-0.3800.0060.008-0.081-0.0020.0250.7460.136-0.1350.3290.0000.0000.6210.860-0.2760.3910.441-0.2210.9360.4550.061-0.061-0.0610.9210.9170.8640.099-0.061-0.073-0.3470.080-0.061-0.0610.060-0.061-0.061-0.0611.000
Ambient WindSpeed Max. [m/s]0.065-0.065-0.065-0.0400.000-0.187-0.0470.0090.9771.0000.8820.870-0.065-0.045-0.301-0.392-0.1950.412-0.148-0.3550.2100.7630.4670.7350.1090.0220.9100.9060.9110.8980.8620.9030.525-0.065-0.0650.7380.8060.6810.8970.8960.8960.9070.9260.8100.2000.3960.6800.8110.6170.9220.9210.9210.0000.9800.9860.8710.7940.9200.9310.8030.7770.3440.4700.107-0.0620.1200.1420.2730.8460.8170.810-0.065-0.0650.5160.7820.7890.7760.086-0.1350.808-0.3890.0030.007-0.0850.0010.0210.7160.216-0.1430.3280.0000.0000.5880.855-0.2790.3830.459-0.1760.9200.4680.065-0.065-0.0660.8990.9250.8100.162-0.065-0.078-0.3370.084-0.065-0.0650.064-0.065-0.065-0.0651.000
Ambient WindSpeed Min. [m/s]0.059-0.059-0.059-0.0310.223-0.1520.001-0.0450.9470.8821.0000.582-0.0590.004-0.359-0.318-0.3550.196-0.150-0.3500.2100.7310.4430.6960.0990.0200.8730.8640.8750.8640.8410.8650.512-0.059-0.0590.7070.7500.6440.8460.8450.8450.8770.8270.884-0.0040.3980.6240.7700.6310.8800.8790.8811.0000.9330.8810.9490.5860.8820.8380.8880.5820.2650.2900.256-0.1940.1100.1160.2310.8040.7770.772-0.059-0.0590.4710.7120.7140.7050.059-0.1180.757-0.3460.0250.024-0.059-0.0200.0500.7160.012-0.1120.3000.2230.2230.6080.800-0.2640.3460.373-0.2960.8820.3690.059-0.059-0.0590.8740.8290.882-0.034-0.059-0.070-0.3400.057-0.059-0.0590.058-0.059-0.059-0.0591.000
Ambient WindSpeed StdDev [m/s]0.063-0.063-0.063-0.0520.000-0.177-0.0880.0500.7780.8700.5821.000-0.063-0.085-0.075-0.2920.0890.585-0.122-0.2800.1810.6310.3980.6070.1210.0200.7250.7260.7230.7100.6520.7190.427-0.063-0.0630.5860.6730.5600.7330.7330.7330.7120.8000.5320.3410.3260.5880.6720.4160.7400.7390.7380.0000.7980.8600.6050.7910.7330.7980.5410.7680.2990.538-0.1050.1180.0830.1150.2290.6870.6650.660-0.063-0.0630.4500.6820.6910.6780.110-0.1450.643-0.346-0.011-0.007-0.1090.012-0.0070.5080.383-0.1520.3050.0000.0000.3880.713-0.2470.3020.457-0.0260.7330.4440.063-0.062-0.0630.6970.7960.5350.299-0.063-0.073-0.2550.108-0.063-0.0630.062-0.063-0.063-0.0631.000
Ambient ok hours [h]-1.0001.0001.000-0.0070.0170.7640.0810.069-0.061-0.065-0.059-0.0631.0000.0730.0100.0230.006-0.0620.7330.7220.5960.1300.5300.2540.0850.003-0.046-0.055-0.059-0.065-0.060-0.0570.1251.0001.0000.1240.1870.2700.0070.0000.003-0.081-0.086-0.072-0.0260.4150.3620.152-0.064-0.080-0.078-0.0800.022-0.076-0.076-0.086-0.054-0.103-0.104-0.064-0.090-0.008-0.0650.092-0.042-0.104-0.183-0.1510.1310.1560.1561.0001.0000.0740.1990.1780.2070.089-0.020-0.0720.030-0.016-0.025-0.0900.014-0.103-0.046-0.034-0.2220.5390.0170.017-0.078-0.0850.019-0.005-0.0680.019-0.103-0.036-1.0001.0001.000-0.079-0.084-0.071-0.0181.0000.9890.7140.0901.0001.000-0.9991.0001.0001.0001.000
Avg. direction [°]-0.0720.0730.0730.0130.0510.0480.884-0.011-0.025-0.0450.004-0.0850.0731.000-0.0130.003-0.043-0.0190.1010.0870.0490.0250.036-0.017-0.064-0.012-0.017-0.016-0.020-0.021-0.028-0.0210.0150.0730.0730.021-0.025-0.010-0.029-0.029-0.029-0.024-0.0380.013-0.079-0.001-0.010-0.0120.032-0.022-0.022-0.0210.011-0.033-0.044-0.012-0.047-0.022-0.0350.000-0.0450.004-0.0690.085-0.0710.012-0.009-0.012-0.023-0.020-0.0190.0730.073-0.063-0.041-0.042-0.034-0.0410.021-0.0450.075-0.0090.0360.0430.0180.0220.012-0.043-0.0360.0310.0510.0510.036-0.0410.0550.013-0.026-0.022-0.022-0.012-0.0710.0720.073-0.021-0.0380.013-0.0800.0730.0880.078-0.0410.0730.073-0.0690.0730.0730.0731.000
Blades PitchAngle Avg. [°]-0.0100.0100.010-0.1170.1100.117-0.022-0.050-0.343-0.301-0.359-0.0750.010-0.0131.0000.8760.9340.1800.0340.1690.122-0.279-0.008-0.1970.2290.029-0.412-0.395-0.420-0.403-0.470-0.410-0.2300.0100.010-0.304-0.269-0.194-0.353-0.354-0.354-0.444-0.380-0.481-0.3190.027-0.142-0.288-0.680-0.417-0.418-0.4180.000-0.335-0.304-0.304-0.446-0.416-0.384-0.397-0.479-0.419-0.082-0.5640.603-0.133-0.127-0.157-0.305-0.272-0.2720.0100.010-0.021-0.131-0.153-0.1400.277-0.209-0.280-0.250-0.110-0.035-0.2770.107-0.205-0.6790.010-0.0760.1250.1100.110-0.694-0.117-0.333-0.4770.1450.152-0.417-0.225-0.0090.0120.009-0.466-0.383-0.480-0.3110.0100.0230.2230.2760.0100.010-0.0090.0100.0100.0101.000
Blades PitchAngle Max. [°]-0.0230.0230.023-0.1200.2230.147-0.002-0.074-0.383-0.392-0.318-0.2920.0230.0030.8761.0000.759-0.1000.0440.1910.105-0.354-0.051-0.2470.2240.022-0.461-0.445-0.469-0.446-0.477-0.459-0.2780.0230.023-0.339-0.324-0.232-0.412-0.413-0.413-0.488-0.477-0.447-0.408-0.000-0.199-0.368-0.709-0.471-0.471-0.4701.000-0.383-0.399-0.265-0.619-0.467-0.480-0.346-0.658-0.491-0.230-0.4730.517-0.142-0.141-0.178-0.360-0.324-0.3240.0230.023-0.079-0.200-0.226-0.2110.266-0.209-0.291-0.273-0.106-0.031-0.2670.105-0.195-0.711-0.158-0.0390.0840.2230.223-0.707-0.165-0.375-0.5100.0330.062-0.467-0.325-0.0220.0240.022-0.503-0.478-0.448-0.3840.0230.0370.2410.2650.0230.023-0.0220.0230.0230.0231.000
Blades PitchAngle Min. [°]-0.0060.0060.006-0.1160.2230.082-0.053-0.027-0.266-0.195-0.3550.0890.006-0.0430.9340.7591.0000.3140.0280.1400.112-0.2330.015-0.1400.2320.033-0.332-0.313-0.339-0.328-0.393-0.330-0.2110.0060.006-0.238-0.192-0.135-0.273-0.275-0.274-0.362-0.257-0.463-0.1280.029-0.086-0.232-0.673-0.333-0.334-0.3351.000-0.252-0.193-0.300-0.276-0.336-0.274-0.418-0.307-0.3230.080-0.6590.722-0.116-0.102-0.116-0.234-0.204-0.2040.0060.0060.024-0.058-0.075-0.0660.281-0.209-0.176-0.326-0.111-0.033-0.2810.108-0.207-0.6260.107-0.0930.1310.2230.223-0.688-0.027-0.360-0.4430.2160.264-0.335-0.131-0.0060.0080.006-0.380-0.262-0.461-0.1250.0060.0180.2000.2810.0060.006-0.0060.0060.0060.0061.000
Blades PitchAngle StdDev [°]0.062-0.062-0.0620.0620.000-0.109-0.0220.0280.3450.4120.1960.585-0.062-0.0190.180-0.1000.3141.000-0.080-0.1420.1300.4290.2530.351-0.1070.0190.3980.4110.3890.4070.3390.3940.390-0.062-0.0620.3180.3730.3320.4140.4150.4140.3910.4980.2480.2030.2530.3380.4230.2260.4170.4160.4150.0000.3520.4390.1220.4490.4020.4820.1530.4790.4850.711-0.1160.2010.0110.0200.0780.3880.3780.378-0.062-0.0620.2210.3750.3760.377-0.1120.0760.2600.0820.026-0.0100.113-0.0320.0970.2050.432-0.1010.2270.0000.0000.2770.3880.0550.4010.4110.3650.4020.5800.063-0.061-0.0620.3720.4930.2510.161-0.062-0.069-0.143-0.110-0.062-0.0620.063-0.062-0.062-0.0621.000
Controller Ground Temp. Avg. [°C]-0.7330.7330.7330.0400.4470.8720.1120.075-0.149-0.148-0.150-0.1220.7330.1010.0340.0440.028-0.0801.0000.8860.6120.0520.5390.2090.030-0.002-0.115-0.125-0.128-0.130-0.120-0.1280.1080.7330.7330.0180.1130.231-0.075-0.082-0.079-0.145-0.146-0.135-0.0320.4390.3150.093-0.116-0.144-0.143-0.1460.578-0.160-0.158-0.168-0.106-0.169-0.167-0.138-0.128-0.039-0.1000.064-0.029-0.112-0.145-0.1170.0750.1030.1040.7330.733-0.0360.1130.0890.1280.0290.032-0.1360.0620.005-0.016-0.029-0.006-0.065-0.112-0.056-0.1320.5970.4470.447-0.124-0.1510.044-0.041-0.1070.042-0.168-0.078-0.7320.7320.734-0.142-0.146-0.133-0.0220.7330.7500.8680.0300.7330.733-0.7320.7330.7330.7331.000
Controller Hub Temp. Avg. [°C]-0.7230.7220.7220.0360.4470.8980.0970.053-0.362-0.355-0.350-0.2800.7220.0870.1690.1910.140-0.1420.8861.0000.559-0.1280.4320.0430.028-0.005-0.330-0.340-0.344-0.344-0.327-0.342-0.0050.7220.722-0.155-0.0750.081-0.290-0.298-0.294-0.358-0.352-0.341-0.0640.3490.144-0.091-0.291-0.360-0.359-0.3620.577-0.374-0.370-0.364-0.303-0.377-0.373-0.337-0.317-0.138-0.191-0.0150.043-0.142-0.176-0.175-0.120-0.084-0.0800.7220.722-0.120-0.087-0.116-0.0770.0320.027-0.3230.125-0.008-0.018-0.0330.006-0.072-0.308-0.084-0.0930.5250.4470.447-0.291-0.3320.083-0.153-0.1800.096-0.377-0.182-0.7220.7220.723-0.356-0.351-0.340-0.0450.7220.7460.9860.0330.7220.722-0.7210.7220.7220.7221.000
Controller Top Temp. Avg. [°C]-0.5960.5960.5960.0280.4490.6790.0480.0300.2200.2100.2100.1810.5960.0490.1220.1050.1120.1300.6120.5591.0000.4080.7700.5380.0920.0110.2400.2290.2220.2190.1980.2260.3540.5960.5960.2770.4510.5330.3030.2960.2990.1860.1890.159-0.0610.8220.6520.4380.0380.1960.1970.1950.5780.2050.2020.1900.0850.1800.1750.1990.0490.0380.0940.0190.042-0.034-0.085-0.0100.4270.4480.4460.5960.5960.4710.5250.4850.5050.096-0.0240.163-0.143-0.027-0.026-0.0970.027-0.1180.0890.002-0.2630.8580.4490.4490.0310.223-0.1430.0630.173-0.0490.1800.125-0.5950.5960.5960.1750.1900.159-0.0600.5960.6100.5740.0980.5960.596-0.5960.5960.5960.5961.000
Controller VCP ChokecoilTemp. Avg. [°C]-0.1300.1310.1300.1130.4470.0630.0160.0160.7760.7630.7310.6310.1300.025-0.279-0.354-0.2330.4290.052-0.1280.4081.0000.7160.840-0.1090.0060.8600.8570.8500.8450.7980.8560.6710.1310.1300.7070.8770.8140.9020.9040.9030.8060.7930.7500.0740.5510.8590.8880.6220.8150.8160.8140.5770.7710.7670.7010.6240.8080.7990.7400.6340.3540.3870.213-0.1720.0340.0300.1540.8740.8650.8640.1300.1300.5410.8530.8540.860-0.1400.1030.648-0.1920.0690.0250.141-0.0650.1140.6620.163-0.1850.5880.4470.4470.6160.714-0.1350.4150.395-0.1700.8080.459-0.1280.1310.1300.7980.7930.7510.0410.1300.118-0.117-0.1400.1310.130-0.1280.1300.1300.1301.000
Controller VCP Temp. Avg. [°C]-0.5300.5300.5300.0470.4480.5980.0380.0350.4760.4670.4430.3980.5300.036-0.008-0.0510.0150.2530.5390.4320.7700.7161.0000.8190.0600.0130.5260.5190.5080.5060.4680.5150.4910.5300.5300.5330.7300.7860.6110.6030.6070.4630.4590.427-0.0440.7350.8860.7320.2410.4700.4720.4690.5770.4640.4650.4200.3400.4600.4550.4440.3040.1810.2430.094-0.013-0.031-0.0570.0600.7180.7370.7320.5300.5300.4840.7710.7470.7750.0540.0240.422-0.253-0.016-0.024-0.0550.016-0.1090.3150.062-0.2730.9080.4480.4480.2410.482-0.2300.2220.277-0.0870.4600.286-0.5290.5300.5300.4540.4600.427-0.0570.5300.5340.4590.0560.5300.530-0.5290.5300.5300.5301.000
Controller VCP WaterTemp. Avg. [°C]-0.2540.2540.2540.0920.4470.223-0.0190.0080.7470.7350.6960.6070.254-0.017-0.197-0.247-0.1400.3510.2090.0430.5380.8400.8191.0000.0000.0140.8120.8070.7990.7960.7610.8030.5960.2540.2540.7380.8800.9600.8770.8710.8740.7630.7540.7090.0410.6510.9010.9500.4820.7660.7670.7650.5780.7400.7400.6760.5900.7660.7570.7080.5720.3220.3970.150-0.0650.0360.0320.1700.9600.9720.9680.2540.2540.5820.8870.8750.887-0.0350.0860.705-0.3640.036-0.0040.034-0.036-0.0270.5650.107-0.2360.7050.4470.4470.4840.752-0.3080.3720.385-0.1390.7660.439-0.2540.2540.2540.7560.7540.7090.0140.2540.2500.068-0.0330.2540.254-0.2540.2540.2540.2541.000
First Alarm parameter 1 in 10 min frame-0.0850.0840.084-0.2620.0000.056-0.057-0.0390.1100.1090.0990.1210.085-0.0640.2290.2240.232-0.1070.0300.0280.092-0.1090.0600.0001.0000.142-0.141-0.137-0.138-0.155-0.165-0.139-0.1720.0840.084-0.006-0.006-0.095-0.066-0.072-0.069-0.181-0.134-0.204-0.0280.0490.038-0.049-0.208-0.156-0.160-0.1570.0000.1110.0930.097-0.086-0.134-0.123-0.144-0.137-0.0340.015-0.0400.0680.0160.009-0.002-0.049-0.050-0.0720.0850.0850.0780.0240.0200.0050.819-0.609-0.089-0.117-0.0060.003-0.815-0.001-0.465-0.137-0.018-0.0690.0250.0000.000-0.229-0.069-0.112-0.035-0.028-0.033-0.134-0.029-0.0860.0840.085-0.184-0.135-0.206-0.0210.0850.0860.0510.8180.0850.085-0.0860.0850.0850.0851.000
First Alarm parameter 2 in 10 min frame-0.0020.0030.0030.0010.0000.001-0.0110.0050.0220.0220.0200.0200.003-0.0120.0290.0220.0330.019-0.002-0.0050.0110.0060.0130.0140.1421.0000.0090.0110.0080.0060.0010.010-0.0020.0030.0030.0190.0140.0110.0110.0110.011-0.0090.010-0.0290.0200.0180.0130.010-0.0040.0050.0050.0050.0000.0220.0200.0140.0130.0070.012-0.0230.014-0.0050.024-0.0180.0190.0020.0020.0030.0110.0110.0130.0030.0030.0180.0160.0160.0150.115-0.059-0.001-0.015-0.0410.000-0.1140.013-0.0840.010-0.001-0.0040.0070.0000.000-0.0240.012-0.013-0.0070.011-0.0020.007-0.005-0.0030.0020.003-0.0080.010-0.0300.0200.0030.001-0.0020.1170.0030.003-0.0020.0030.0030.0031.000
Gear Bearing TemperatureHSGeneratorEnd Avg. [°C]0.046-0.046-0.0460.1180.447-0.147-0.024-0.0030.9270.9100.8730.725-0.046-0.017-0.412-0.461-0.3320.398-0.115-0.3300.2400.8600.5260.812-0.1410.0091.0000.9950.9970.9920.9660.9960.657-0.046-0.0460.7910.8610.7750.9730.9730.9730.9770.9580.9140.1400.4500.7370.8860.7090.9810.9810.9810.5770.9250.9170.8550.7680.9780.9650.8930.7840.3930.4550.206-0.1500.1030.1180.2540.9200.8940.892-0.046-0.0460.5260.8210.8270.822-0.1840.1450.853-0.3480.0930.0320.185-0.0900.1430.7740.138-0.1320.3900.4470.4470.6990.888-0.2530.4510.441-0.2000.9790.5020.047-0.046-0.0470.9730.9590.9150.104-0.046-0.059-0.322-0.183-0.046-0.0460.046-0.046-0.046-0.0461.000
Gear Bearing TemperatureHSMiddle Avg. [°C]0.055-0.055-0.0550.1180.447-0.158-0.022-0.0030.9210.9060.8640.726-0.055-0.016-0.395-0.445-0.3130.411-0.125-0.3400.2290.8570.5190.807-0.1370.0110.9951.0000.9930.9910.9660.9940.653-0.055-0.0550.7890.8580.7710.9730.9730.9720.9720.9560.9100.1370.4400.7320.8780.6890.9740.9750.9750.5770.9190.9140.8450.7650.9720.9610.8820.7820.4020.4710.192-0.1300.1020.1170.2530.9150.8900.888-0.055-0.0550.5190.8190.8260.821-0.1810.1440.854-0.3540.0920.0320.181-0.0880.1400.7510.145-0.1320.3810.4470.4470.6860.890-0.2620.4590.444-0.1840.9730.5130.055-0.055-0.0550.9690.9560.9100.101-0.055-0.067-0.332-0.180-0.055-0.0550.055-0.055-0.055-0.0551.000
Gear Bearing TemperatureHSRotorEnd Avg. [°C]0.060-0.059-0.0590.1170.447-0.162-0.026-0.0060.9290.9110.8750.723-0.059-0.020-0.420-0.469-0.3390.389-0.128-0.3440.2220.8500.5080.799-0.1380.0080.9970.9931.0000.9910.9680.9960.659-0.059-0.0590.7870.8510.7600.9670.9670.9670.9780.9580.9170.1380.4330.7210.8760.7090.9810.9820.9810.5770.9260.9190.8590.7720.9790.9650.8960.7870.3900.4500.210-0.1550.1050.1210.2560.9120.8840.882-0.059-0.0590.5200.8080.8150.810-0.1800.1440.854-0.3500.0890.0310.181-0.0860.1360.7780.132-0.1270.3700.4470.4470.6990.886-0.2520.4490.435-0.2050.9790.4960.060-0.059-0.0600.9750.9580.9180.102-0.059-0.072-0.336-0.179-0.059-0.0590.059-0.059-0.059-0.0591.000
Gear Bearing TemperatureHollowShaftGenerator Avg. [°C]0.065-0.065-0.0650.1180.448-0.164-0.027-0.0060.9170.8980.8640.710-0.065-0.021-0.403-0.446-0.3280.407-0.130-0.3440.2190.8450.5060.796-0.1550.0060.9920.9910.9911.0000.9740.9900.655-0.065-0.0650.7830.8480.7600.9640.9640.9640.9750.9520.9220.1110.4310.7150.8680.7050.9750.9750.9750.5770.9130.9060.8430.7600.9730.9580.8890.7780.4090.4640.213-0.1500.1090.1240.2590.9070.8810.878-0.065-0.0650.5120.8020.8080.804-0.1990.1590.855-0.3440.0950.0320.199-0.0910.1490.7520.136-0.1240.3700.4480.4480.7030.889-0.2580.4670.441-0.1900.9740.5160.065-0.065-0.0650.9720.9520.9220.075-0.065-0.077-0.337-0.198-0.065-0.0650.065-0.065-0.065-0.0651.000
Gear Bearing TemperatureHollowShaftRotor Avg. [°C]0.060-0.059-0.0590.1180.448-0.155-0.033-0.0040.8860.8620.8410.652-0.060-0.028-0.470-0.477-0.3930.339-0.120-0.3270.1980.7980.4680.761-0.1650.0010.9660.9660.9680.9741.0000.9680.663-0.059-0.0590.7720.8210.7330.9300.9310.9300.9550.9220.9090.1320.4010.6760.8210.6950.9450.9460.9450.5770.8810.8700.8130.7340.9440.9250.8630.7520.4240.4520.232-0.1660.1100.1240.2550.8720.8460.844-0.060-0.0600.4750.7500.7570.752-0.2070.1680.847-0.3350.0940.0310.208-0.0910.1500.7370.110-0.1000.3310.4480.4480.7000.855-0.2490.4810.401-0.1780.9440.5090.060-0.060-0.0600.9550.9240.9090.101-0.060-0.071-0.324-0.206-0.059-0.0600.059-0.060-0.059-0.0601.000
Gear Oil TemperatureBasis Avg. [°C]0.058-0.057-0.0570.1200.447-0.160-0.028-0.0040.9190.9030.8650.719-0.057-0.021-0.410-0.459-0.3300.394-0.128-0.3420.2260.8560.5150.803-0.1390.0100.9960.9940.9960.9900.9681.0000.662-0.057-0.0570.7890.8570.7670.9700.9710.9700.9700.9510.9080.1390.4360.7280.8760.7000.9730.9730.9730.5770.9170.9110.8480.7640.9700.9580.8860.7800.3910.4560.201-0.1460.1030.1190.2540.9110.8860.883-0.057-0.0570.5210.8130.8200.815-0.1820.1460.852-0.3520.0920.0320.183-0.0880.1380.7660.137-0.1280.3770.4470.4470.6920.884-0.2570.4490.435-0.1960.9710.4990.058-0.057-0.0580.9660.9510.9090.103-0.057-0.070-0.334-0.181-0.057-0.0570.057-0.057-0.057-0.0571.000
Gear Oil TemperatureLevel1 Avg. [°C]-0.1250.1260.1250.1520.4500.1200.0080.0130.5410.5250.5120.4270.1250.015-0.230-0.278-0.2110.3900.108-0.0050.3540.6710.4910.596-0.172-0.0020.6570.6530.6590.6550.6630.6621.0000.1260.1250.5620.6500.6010.6400.6420.6420.6070.5910.5670.1060.4830.5980.6270.4820.6030.6040.6020.5770.5240.5230.4590.4290.5860.5810.5290.4520.3170.3320.180-0.1490.0120.0100.1010.6260.6210.6240.1250.1250.3530.5540.5520.558-0.2170.1770.452-0.0520.1170.0460.219-0.1120.1670.4700.131-0.1010.4410.4500.4500.4950.499-0.0340.3630.283-0.0620.5860.383-0.1240.1250.1250.5970.5920.5670.0760.1250.122-0.011-0.2160.1260.125-0.1230.1250.1250.1251.000
Generator 1 hours [h]-1.0001.0001.000-0.0070.0170.7630.0810.069-0.061-0.065-0.059-0.0631.0000.0730.0100.0230.006-0.0620.7330.7220.5960.1310.5300.2540.0840.003-0.046-0.055-0.059-0.065-0.059-0.0570.1261.0001.0000.1230.1870.2710.0080.0010.004-0.081-0.086-0.072-0.0260.4150.3620.152-0.064-0.080-0.077-0.0800.020-0.075-0.076-0.086-0.054-0.103-0.104-0.064-0.090-0.008-0.0640.092-0.042-0.105-0.183-0.1510.1310.1560.1561.0001.0000.0730.1990.1790.2070.089-0.021-0.0720.031-0.017-0.025-0.0890.015-0.103-0.046-0.034-0.2210.5390.0170.017-0.077-0.0850.019-0.005-0.0680.019-0.103-0.036-1.0001.0001.000-0.078-0.084-0.070-0.0181.0000.9890.7140.0901.0001.000-0.9991.0001.0001.0001.000
Generator 2 hours [h]-1.0001.0001.000-0.0070.0180.7640.0810.069-0.061-0.065-0.059-0.0631.0000.0730.0100.0230.006-0.0620.7330.7220.5960.1300.5300.2540.0840.003-0.046-0.055-0.059-0.065-0.059-0.0570.1251.0001.0000.1240.1870.2700.0070.0000.003-0.081-0.085-0.072-0.0250.4150.3620.152-0.064-0.080-0.077-0.0800.023-0.076-0.076-0.086-0.054-0.103-0.104-0.064-0.089-0.008-0.0640.092-0.042-0.104-0.183-0.1510.1310.1560.1561.0001.0000.0730.1990.1780.2070.089-0.020-0.0720.031-0.016-0.025-0.0890.014-0.103-0.046-0.034-0.2220.5390.0180.018-0.078-0.0850.019-0.005-0.0680.019-0.103-0.036-1.0001.0001.000-0.079-0.084-0.070-0.0181.0000.9890.7150.0891.0001.000-0.9991.0001.0001.0001.000
Generator Bearing Temp. Avg. [°C]-0.1240.1230.1240.0850.447-0.0090.0150.0120.7530.7380.7070.5860.1240.021-0.304-0.339-0.2380.3180.018-0.1550.2770.7070.5330.738-0.0060.0190.7910.7890.7870.7830.7720.7890.5620.1230.1241.0000.8060.7120.8120.8110.8110.7570.7460.7120.1000.4400.6750.7630.5280.7600.7610.7600.5770.7490.7430.6790.6050.7560.7480.6860.5990.3390.3930.167-0.0960.0800.0720.1930.7890.7790.7760.1240.1240.4500.7190.7170.716-0.0340.0390.695-0.3090.0440.0090.035-0.0430.0270.5930.119-0.1670.3990.4470.4470.5260.713-0.2450.3810.350-0.1260.7560.423-0.1250.1230.1240.7560.7470.7130.0720.1240.113-0.149-0.0340.1240.124-0.1270.1240.1240.1241.000
Generator Bearing2 Temp. Avg. [°C]-0.1870.1870.1870.0870.4470.106-0.0280.0220.8130.8060.7500.6730.187-0.025-0.269-0.324-0.1920.3730.113-0.0750.4510.8770.7300.880-0.0060.0140.8610.8580.8510.8480.8210.8570.6500.1870.1870.8061.0000.8640.9140.9130.9140.8090.8070.7460.1190.5880.8800.8840.5410.8140.8160.8140.5780.8070.8060.7260.6510.8050.8040.7270.6450.3240.4150.131-0.0650.0540.0490.1900.9030.9000.8990.1870.1870.5650.8920.8880.893-0.0390.0240.739-0.3500.0530.0130.039-0.0500.0500.6120.157-0.1980.6140.4470.4470.5310.773-0.2830.3710.395-0.1400.8050.436-0.1870.1870.1860.8040.8070.7470.0880.1870.175-0.056-0.0390.1870.187-0.1880.1870.1870.1871.000
Generator CoolingWater Temp. Avg. [°C]-0.2700.2710.2700.1000.4470.249-0.0150.0180.6910.6810.6440.5600.270-0.010-0.194-0.232-0.1350.3320.2310.0810.5330.8140.7860.960-0.0950.0110.7750.7710.7600.7600.7330.7670.6010.2710.2700.7120.8641.0000.8400.8360.8380.7250.7190.6720.0700.6360.8750.9070.4460.7260.7280.7260.5770.6830.6820.6250.5350.7170.7110.6550.5440.2470.3510.080-0.0020.0240.0200.1560.9210.9440.9510.2700.2700.5400.8540.8410.857-0.1230.1000.689-0.3710.0670.0200.123-0.0640.0960.5010.112-0.2120.7020.4470.4470.4360.723-0.3230.2870.365-0.1090.7170.367-0.2700.2710.2700.7190.7190.6730.0440.2700.2680.106-0.1220.2700.270-0.2700.2700.2700.2701.000
Generator Phase1 Temp. Avg. [°C]-0.0070.0080.0070.1110.447-0.098-0.0350.0030.9090.8970.8460.7330.007-0.029-0.353-0.412-0.2730.414-0.075-0.2900.3030.9020.6110.877-0.0660.0110.9730.9730.9670.9640.9300.9700.6400.0080.0070.8120.9140.8401.0000.9990.9990.9340.9240.8690.1210.4970.8170.9290.6660.9410.9420.9410.5770.9070.9040.8280.7500.9390.9310.8520.7530.3940.4710.185-0.1230.0930.1020.2420.9540.9370.9330.0070.0070.5700.8890.8930.890-0.1070.0930.842-0.3660.0690.0190.107-0.0670.0810.7350.157-0.1640.4660.4470.4470.6590.877-0.2840.4500.440-0.1810.9390.508-0.0070.0080.0070.9290.9240.8700.0860.007-0.005-0.276-0.1060.0070.007-0.0070.0070.0070.0071.000
Generator Phase2 Temp. Avg. [°C]-0.0000.0010.0000.1110.447-0.106-0.0340.0030.9080.8960.8450.7330.000-0.029-0.354-0.413-0.2750.415-0.082-0.2980.2960.9040.6030.871-0.0720.0110.9730.9730.9670.9640.9310.9710.6420.0010.0000.8110.9130.8360.9991.0000.9990.9340.9230.8690.1220.4910.8130.9240.6680.9410.9420.9410.5770.9060.9030.8270.7490.9380.9300.8520.7540.3910.4690.182-0.1220.0940.1030.2430.9490.9320.9280.0000.0000.5670.8860.8910.888-0.1120.0930.842-0.3650.0710.0200.113-0.0680.0900.7340.159-0.1600.4590.4470.4470.6600.876-0.2840.4470.439-0.1810.9390.5050.0000.001-0.0000.9290.9230.8700.0870.000-0.012-0.284-0.1120.0010.000-0.0000.0000.0000.0001.000
Generator Phase3 Temp. Avg. [°C]-0.0030.0040.0030.1110.447-0.102-0.0350.0030.9080.8960.8450.7330.003-0.029-0.354-0.413-0.2740.414-0.079-0.2940.2990.9030.6070.874-0.0690.0110.9730.9720.9670.9640.9300.9700.6420.0040.0030.8110.9140.8380.9990.9991.0000.9330.9230.8680.1220.4930.8150.9260.6670.9400.9410.9410.5770.9060.9030.8270.7490.9380.9300.8510.7530.3920.4690.183-0.1220.0930.1020.2420.9510.9340.9300.0030.0030.5680.8880.8920.889-0.1100.0920.841-0.3650.0700.0200.110-0.0670.0860.7340.158-0.1620.4630.4470.4470.6590.876-0.2830.4480.439-0.1810.9380.506-0.0030.0040.0030.9290.9230.8690.0870.003-0.009-0.281-0.1090.0030.003-0.0030.0030.0030.0031.000
Generator RPM Avg. [RPM]0.081-0.081-0.0810.1010.039-0.187-0.029-0.0040.9260.9070.8770.712-0.081-0.024-0.444-0.488-0.3620.391-0.145-0.3580.1860.8060.4630.763-0.181-0.0090.9770.9720.9780.9750.9550.9700.607-0.081-0.0810.7570.8090.7250.9340.9340.9331.0000.9660.9390.1380.4010.6730.8510.7150.9860.9860.9860.0000.9210.9150.8520.7720.9840.9700.9000.7920.4100.4560.224-0.1660.1120.1290.2610.8890.8590.856-0.081-0.0810.4980.7680.7750.769-0.2260.1680.849-0.3300.1020.0330.227-0.0990.1800.7680.138-0.1190.3290.0390.0390.7130.880-0.2310.4640.438-0.1900.9840.5110.081-0.081-0.0810.9940.9670.9390.100-0.081-0.094-0.354-0.226-0.081-0.0810.080-0.081-0.081-0.0811.000
Generator RPM Max. [RPM]0.086-0.086-0.0850.0880.044-0.195-0.0450.0090.9170.9260.8270.800-0.086-0.038-0.380-0.477-0.2570.498-0.146-0.3520.1890.7930.4590.754-0.1340.0100.9580.9560.9580.9520.9220.9510.591-0.086-0.0850.7460.8070.7190.9240.9230.9230.9661.0000.8630.2740.3980.6750.8370.6590.9760.9760.9750.0000.9170.9380.8000.8210.9720.9890.8240.8470.4130.5530.115-0.0570.1080.1290.2620.8770.8480.846-0.086-0.0860.4940.7730.7810.774-0.1800.1270.841-0.3470.0920.0280.181-0.0900.1590.7290.231-0.1280.3330.0440.0440.6500.882-0.2380.4370.481-0.1010.9720.5310.086-0.086-0.0860.9600.9990.8640.234-0.086-0.098-0.342-0.179-0.086-0.0860.085-0.086-0.086-0.0861.000
Generator RPM Min. [RPM]0.072-0.072-0.0720.1030.223-0.1670.011-0.0230.8640.8100.8840.532-0.0720.013-0.481-0.447-0.4630.248-0.135-0.3410.1590.7500.4270.709-0.204-0.0290.9140.9100.9170.9220.9090.9080.567-0.072-0.0720.7120.7460.6720.8690.8690.8680.9390.8631.000-0.0620.3660.6080.7860.7020.9170.9180.9191.0000.8520.8170.8570.6600.9180.8730.9270.6770.3620.3280.345-0.2750.1200.1300.2530.8280.8020.799-0.072-0.0720.4570.7020.7110.705-0.2510.1830.820-0.3090.1030.0310.251-0.1010.1910.7200.028-0.1040.2880.2230.2230.7200.826-0.2590.4580.329-0.2710.9180.4280.072-0.072-0.0720.9480.8650.998-0.095-0.072-0.083-0.345-0.252-0.072-0.0720.071-0.072-0.072-0.0721.000
Generator RPM StdDev [RPM]0.025-0.026-0.0250.0110.000-0.085-0.0790.1080.1350.200-0.0040.341-0.026-0.079-0.319-0.408-0.1280.203-0.032-0.064-0.0610.074-0.0440.041-0.0280.0200.1400.1370.1380.1110.1320.1390.106-0.026-0.0250.1000.1190.0700.1210.1220.1220.1380.274-0.0621.000-0.0250.0670.0500.0980.1600.1590.1560.0000.1380.207-0.0290.3330.1400.220-0.0710.3590.1350.333-0.1770.1320.0100.0290.0370.0840.0720.078-0.026-0.026-0.0350.0450.0540.048-0.0480.0010.0630.0760.0440.0070.049-0.0470.0940.2290.2760.049-0.0690.0000.0000.087-0.0020.2210.0390.0800.2160.1400.1140.025-0.027-0.0250.1210.273-0.0630.985-0.026-0.033-0.074-0.048-0.026-0.0260.024-0.026-0.026-0.0251.000
Generator SlipRing Temp. Avg. [°C]-0.4150.4150.4150.0640.4470.504-0.0010.0090.4130.3960.3980.3260.415-0.0010.027-0.0000.0290.2530.4390.3490.8220.5510.7350.6510.0490.0180.4500.4400.4330.4310.4010.4360.4830.4150.4150.4400.5880.6360.4970.4910.4930.4010.3980.366-0.0251.0000.7210.5970.2060.4100.4110.4090.5770.3970.3910.3690.2390.3980.3880.3890.2180.1510.2170.073-0.004-0.020-0.0430.0480.5920.6030.6000.4150.4150.6430.6300.5980.6110.0310.0330.334-0.1780.021-0.013-0.031-0.022-0.0640.2600.035-0.2430.8290.4470.4470.2090.407-0.1650.1880.265-0.0770.3980.256-0.4150.4140.4150.3880.3990.365-0.0340.4150.4240.3680.0330.4150.415-0.4150.4150.4150.4151.000
Grid Busbar Temp. Avg. [°C]-0.3610.3620.3620.0750.4470.335-0.0090.0270.6820.6800.6240.5880.362-0.010-0.142-0.199-0.0860.3380.3150.1440.6520.8590.8860.9010.0380.0130.7370.7320.7210.7150.6760.7280.5980.3620.3620.6750.8800.8750.8170.8130.8150.6730.6750.6080.0670.7211.0000.8590.4160.6840.6860.6830.5770.6750.6780.6050.5270.6700.6690.6190.5030.2610.3530.106-0.0400.011-0.0000.1340.8630.8710.8670.3620.3620.5990.9290.9140.9290.0140.0310.609-0.3150.0360.001-0.013-0.035-0.0320.4960.132-0.2470.8040.4470.4470.4060.661-0.2610.3050.365-0.1220.6710.380-0.3610.3620.3610.6640.6750.6090.0440.3620.3600.1700.0150.3620.362-0.3610.3620.3620.3621.000
Grid InverterPhase1 Temp. Avg. [°C]-0.1520.1520.1520.0990.4470.089-0.0170.0010.8220.8110.7700.6720.152-0.012-0.288-0.368-0.2320.4230.093-0.0910.4380.8880.7320.950-0.0490.0100.8860.8780.8760.8680.8210.8760.6270.1520.1520.7630.8840.9070.9290.9240.9260.8510.8370.7860.0500.5970.8591.0000.6350.8580.8590.8580.5770.8180.8160.7450.6700.8600.8490.7900.6660.3940.4210.237-0.1810.0560.0550.1890.9750.9700.9650.1520.1520.5770.8720.8670.872-0.0940.1160.717-0.2640.0620.0100.094-0.0610.0360.7020.141-0.2120.6030.4470.4470.6300.780-0.2010.4560.403-0.1760.8600.499-0.1520.1520.1520.8420.8360.7860.0170.1520.143-0.077-0.0920.1520.152-0.1520.1520.1520.1521.000
Grid Production CosPhi Avg.0.065-0.064-0.0640.1140.042-0.1760.0340.0200.6470.6170.6310.416-0.0640.032-0.680-0.709-0.6730.226-0.116-0.2910.0380.6220.2410.482-0.208-0.0040.7090.6890.7090.7050.6950.7000.482-0.064-0.0640.5280.5410.4460.6660.6680.6670.7150.6590.7020.0980.2060.4160.6351.0000.7210.7210.7220.0360.6450.6060.5850.6050.7230.6850.6720.6440.4700.2000.583-0.6350.1290.1240.1920.6090.5710.568-0.064-0.0640.2360.4400.4550.446-0.2600.1830.4630.2200.1090.0390.261-0.1080.2170.8520.099-0.0020.1010.0420.0420.9420.4460.2590.5410.208-0.3220.7230.4170.065-0.065-0.0640.7130.6600.7030.073-0.064-0.080-0.331-0.260-0.064-0.0640.064-0.064-0.064-0.0641.000
Grid Production CurrentPhase1 Avg. [A]0.080-0.080-0.0800.0950.000-0.183-0.028-0.0070.9360.9220.8800.740-0.080-0.022-0.417-0.471-0.3330.417-0.144-0.3600.1960.8150.4700.766-0.1560.0050.9810.9740.9810.9750.9450.9730.603-0.080-0.0800.7600.8140.7260.9410.9410.9400.9860.9760.9170.1600.4100.6840.8580.7211.0001.0001.0000.0050.9350.9300.8630.7780.9910.9800.8990.8010.3870.4630.199-0.1470.1030.1210.2530.8930.8620.860-0.080-0.0800.4890.7820.7890.783-0.1970.1400.847-0.3330.0940.0320.198-0.0920.1690.7810.150-0.1200.3390.0000.0000.7000.889-0.2310.4380.457-0.1940.9910.4970.080-0.080-0.0800.9810.9760.9180.125-0.080-0.093-0.355-0.196-0.080-0.0800.079-0.080-0.080-0.0801.000
Grid Production CurrentPhase2 Avg. [A]0.077-0.077-0.0770.0980.000-0.181-0.027-0.0070.9350.9210.8790.739-0.078-0.022-0.418-0.471-0.3340.416-0.143-0.3590.1970.8160.4720.767-0.1600.0050.9810.9750.9820.9750.9460.9730.604-0.077-0.0770.7610.8160.7280.9420.9420.9410.9860.9760.9180.1590.4110.6860.8590.7211.0001.0001.0000.0050.9340.9280.8630.7770.9910.9800.8990.8000.3860.4620.199-0.1460.1040.1210.2540.8950.8640.861-0.078-0.0780.4890.7840.7910.785-0.2000.1430.850-0.3360.0930.0320.200-0.0900.1690.7810.148-0.1200.3400.0000.0000.7010.891-0.2340.4380.457-0.1940.9910.4970.078-0.077-0.0780.9810.9760.9190.124-0.078-0.090-0.355-0.198-0.078-0.0780.077-0.078-0.078-0.0781.000
Grid Production CurrentPhase3 Avg. [A]0.080-0.080-0.0800.0950.000-0.184-0.027-0.0070.9360.9210.8810.738-0.080-0.021-0.418-0.470-0.3350.415-0.146-0.3620.1950.8140.4690.765-0.1570.0050.9810.9750.9810.9750.9450.9730.602-0.080-0.0800.7600.8140.7260.9410.9410.9410.9860.9750.9190.1560.4090.6830.8580.7221.0001.0001.0000.0060.9350.9290.8640.7770.9910.9790.9000.8000.3870.4610.201-0.1480.1030.1210.2540.8930.8620.860-0.080-0.0800.4890.7820.7890.783-0.1980.1420.850-0.3350.0950.0320.199-0.0920.1690.7810.147-0.1200.3370.0000.0000.7020.891-0.2340.4390.457-0.1960.9910.4970.080-0.080-0.0800.9810.9750.9190.121-0.080-0.093-0.357-0.197-0.080-0.0800.079-0.080-0.080-0.0801.000
Grid Production Frequency Avg. [Hz]0.0250.0240.0230.1830.4490.0360.0000.0000.0000.0001.0000.0000.0220.0110.0001.0001.0000.0000.5780.5770.5780.5770.5770.5780.0000.0000.5770.5770.5770.5770.5770.5770.5770.0200.0230.5770.5780.5770.5770.5770.5770.0000.0001.0000.0000.5770.5770.5770.0360.0050.0050.0061.0000.0000.0000.0000.0000.0180.5770.0460.0000.0000.0000.0150.0000.5000.5000.5000.5770.5780.5770.0220.0220.5770.5780.5770.5780.0000.0290.0000.0000.0580.5770.0150.0000.0250.0000.0000.5770.4080.4490.4490.0000.0070.0000.0000.0000.0000.0030.0000.0220.0220.0220.0000.0001.0000.0000.0210.0150.5770.0000.0220.0220.0220.0220.0200.0231.000
Grid Production PossiblePower Avg. [W]0.075-0.075-0.076-0.0440.000-0.190-0.036-0.0130.9950.9800.9330.798-0.076-0.033-0.335-0.383-0.2520.352-0.160-0.3740.2050.7710.4640.7400.1110.0220.9250.9190.9260.9130.8810.9170.524-0.075-0.0760.7490.8070.6830.9070.9060.9060.9210.9170.8520.1380.3970.6750.8180.6450.9350.9340.9350.0001.0000.9830.9240.7570.9370.9270.8520.7400.3370.4270.164-0.1080.1220.1400.2690.8550.8250.819-0.076-0.0760.5150.7790.7850.7730.087-0.1340.818-0.388-0.0010.004-0.0870.0050.0150.7450.139-0.1330.3170.0000.0000.6160.863-0.2810.3880.446-0.2200.9370.4560.075-0.075-0.0760.9150.9170.8510.103-0.076-0.088-0.3590.085-0.076-0.0760.074-0.076-0.076-0.0761.000
Grid Production PossiblePower Max. [W]0.076-0.076-0.076-0.0300.006-0.200-0.0480.0010.9750.9860.8810.860-0.076-0.044-0.304-0.399-0.1930.439-0.158-0.3700.2020.7670.4650.7400.0930.0200.9170.9140.9190.9060.8700.9110.523-0.076-0.0760.7430.8060.6820.9040.9030.9030.9150.9380.8170.2070.3910.6780.8160.6060.9300.9280.9290.0000.9831.0000.8670.8240.9300.9470.8060.8000.3750.5100.102-0.0450.1220.1420.2730.8520.8230.815-0.076-0.0760.5260.7850.7930.7800.084-0.1120.817-0.392-0.0080.013-0.0820.012-0.0030.7210.217-0.1450.3220.0060.0060.5870.864-0.2800.4090.469-0.1400.9300.5000.076-0.076-0.0760.9080.9370.8170.169-0.076-0.089-0.3520.082-0.076-0.0760.075-0.076-0.076-0.0761.000
Grid Production PossiblePower Min. [W]0.086-0.086-0.086-0.0350.000-0.172-0.017-0.0450.9240.8710.9490.605-0.086-0.012-0.304-0.265-0.3000.122-0.168-0.3640.1900.7010.4200.6760.0970.0140.8550.8450.8590.8430.8130.8480.459-0.086-0.0860.6790.7260.6250.8280.8270.8270.8520.8000.857-0.0290.3690.6050.7450.5850.8630.8630.8640.0000.9240.8671.0000.5650.8660.8180.9220.5570.1340.2020.197-0.1580.1000.1150.2320.7820.7570.752-0.086-0.0860.4770.7100.7130.7030.059-0.1140.780-0.4520.0250.026-0.057-0.0200.0470.684-0.033-0.1090.2910.0000.0000.5380.819-0.3650.2410.368-0.3920.8660.2670.086-0.085-0.0860.8470.8010.856-0.055-0.086-0.096-0.3470.056-0.086-0.0860.085-0.086-0.086-0.0861.000
Grid Production PossiblePower StdDev [W]0.054-0.054-0.0540.0530.037-0.204-0.0480.0510.7440.7940.5860.791-0.054-0.047-0.446-0.619-0.2760.449-0.106-0.3030.0850.6240.3400.590-0.0860.0130.7680.7650.7720.7600.7340.7640.429-0.054-0.0540.6050.6510.5350.7500.7490.7490.7720.8210.6600.3330.2390.5270.6700.6050.7780.7770.7770.0000.7570.8240.5651.0000.7790.8360.5850.9630.4610.5280.153-0.1220.1430.1600.2700.7010.6690.660-0.054-0.0540.4410.6200.6400.624-0.0430.0760.684-0.224-0.041-0.0140.0420.042-0.0470.6980.314-0.1120.1950.0370.0370.6030.663-0.1130.4660.343-0.0530.7790.4960.053-0.054-0.0540.7740.8190.6610.296-0.054-0.067-0.304-0.041-0.054-0.0540.052-0.054-0.054-0.0541.000
Grid Production Power Avg. [W]0.103-0.103-0.1030.0940.000-0.208-0.029-0.0140.9360.9200.8820.733-0.103-0.022-0.416-0.467-0.3360.402-0.169-0.3770.1800.8080.4600.766-0.1340.0070.9780.9720.9790.9730.9440.9700.586-0.103-0.1030.7560.8050.7170.9390.9380.9380.9840.9720.9180.1400.3980.6700.8600.7230.9910.9910.9910.0180.9370.9300.8660.7791.0000.9850.9020.7990.4100.4680.221-0.1610.1140.1330.2640.8940.8620.858-0.103-0.1030.5110.7690.7770.769-0.1790.1450.849-0.3360.0840.0220.179-0.0840.1320.7860.133-0.1200.3220.0000.0000.7160.890-0.2320.4650.457-0.2051.0000.5180.103-0.103-0.1030.9790.9720.9190.106-0.103-0.117-0.368-0.178-0.103-0.1030.103-0.103-0.103-0.1031.000
Grid Production Power Max. [W]0.104-0.104-0.1040.0900.447-0.217-0.043-0.0000.9230.9310.8380.798-0.104-0.035-0.384-0.480-0.2740.482-0.167-0.3730.1750.7990.4550.757-0.1230.0120.9650.9610.9650.9580.9250.9580.581-0.104-0.1040.7480.8040.7110.9310.9300.9300.9700.9890.8730.2200.3880.6690.8490.6850.9800.9800.9790.5770.9270.9470.8180.8360.9851.0000.8450.8570.4270.5390.151-0.0950.1130.1340.2660.8830.8520.848-0.104-0.1040.5150.7720.7810.772-0.1640.1300.842-0.3400.0810.0230.165-0.0790.1280.7570.214-0.1240.3200.4470.4470.6780.884-0.2310.4630.475-0.1320.9850.5410.104-0.104-0.1040.9630.9880.8740.183-0.104-0.117-0.362-0.162-0.104-0.1040.103-0.104-0.104-0.1041.000
Grid Production Power Min. [W]0.064-0.064-0.0640.0800.031-0.148-0.004-0.0410.8570.8030.8880.541-0.0640.000-0.397-0.346-0.4180.153-0.138-0.3370.1990.7400.4440.708-0.144-0.0230.8930.8820.8960.8890.8630.8860.529-0.064-0.0640.6860.7270.6550.8520.8520.8510.9000.8240.927-0.0710.3890.6190.7900.6720.8990.8990.9000.0460.8520.8060.9220.5850.9020.8451.0000.5800.2130.2190.313-0.2980.0930.1030.2200.8170.7900.784-0.064-0.0640.4680.7130.7150.712-0.1840.1530.781-0.3570.0780.0240.184-0.0750.1200.726-0.032-0.1050.3230.0310.0310.6620.813-0.3020.3590.324-0.3990.9020.3280.064-0.064-0.0640.8960.8260.927-0.099-0.064-0.075-0.331-0.184-0.064-0.0640.063-0.064-0.064-0.0641.000
Grid Production Power StdDev [W]0.090-0.090-0.0890.0880.000-0.231-0.0520.0470.7300.7770.5820.768-0.090-0.045-0.479-0.658-0.3070.479-0.128-0.3170.0490.6340.3040.572-0.1370.0140.7840.7820.7870.7780.7520.7800.452-0.090-0.0890.5990.6450.5440.7530.7540.7530.7920.8470.6770.3590.2180.5030.6660.6440.8010.8000.8000.0000.7400.8000.5570.9630.7990.8570.5801.0000.4540.5240.137-0.1110.1410.1620.2690.6960.6650.664-0.090-0.0900.4040.5960.6170.602-0.1730.1220.691-0.1960.0800.0220.174-0.0800.1510.6780.326-0.0830.1670.0000.0000.6310.670-0.0820.4510.349-0.0390.7990.4860.089-0.090-0.0900.7960.8450.6790.322-0.090-0.102-0.325-0.171-0.090-0.0900.088-0.090-0.090-0.0901.000
Grid Production ReactivePower Avg. [W]0.008-0.008-0.0080.0940.000-0.0920.0100.0270.3390.3440.2650.299-0.0080.004-0.419-0.491-0.3230.485-0.039-0.1380.0380.3540.1810.322-0.034-0.0050.3930.4020.3900.4090.4240.3910.317-0.008-0.0080.3390.3240.2470.3940.3910.3920.4100.4130.3620.1350.1510.2610.3940.4700.3870.3860.3870.0000.3370.3750.1340.4610.4100.4270.2130.4541.0000.6160.397-0.2320.0880.0760.1160.3810.3530.337-0.008-0.0080.1600.2430.2540.246-0.0820.1660.2250.3090.0260.0030.079-0.022-0.0600.4700.224-0.0410.0670.0000.0000.5770.2160.3420.9060.1800.3270.4100.8710.008-0.009-0.0080.4150.4120.3620.109-0.008-0.021-0.172-0.079-0.008-0.0080.008-0.008-0.008-0.0081.000
Grid Production ReactivePower Max. [W]0.065-0.064-0.0640.0500.000-0.142-0.0710.0540.4220.4700.2900.538-0.065-0.069-0.082-0.2300.0800.711-0.100-0.1910.0940.3870.2430.3970.0150.0240.4550.4710.4500.4640.4520.4560.332-0.064-0.0640.3930.4150.3510.4710.4690.4690.4560.5530.3280.3330.2170.3530.4210.2000.4630.4620.4610.0000.4270.5100.2020.5280.4680.5390.2190.5240.6161.000-0.1700.2540.0780.0890.1590.4440.4280.418-0.065-0.0650.2730.3950.4010.395-0.0070.0710.417-0.089-0.003-0.0130.008-0.001-0.0630.2860.537-0.0930.1690.0000.0000.2760.449-0.0580.5310.3990.4040.4680.6890.065-0.065-0.0650.4480.5500.3290.305-0.065-0.073-0.186-0.004-0.065-0.0650.064-0.065-0.065-0.0641.000
Grid Production ReactivePower Min. [W]-0.0920.0920.0920.0800.0000.0410.098-0.0330.1750.1070.256-0.1050.0920.085-0.564-0.473-0.659-0.1160.064-0.0150.0190.2130.0940.150-0.040-0.0180.2060.1920.2100.2130.2320.2010.1800.0920.0920.1670.1310.0800.1850.1820.1830.2240.1150.345-0.1770.0730.1060.2370.5830.1990.1990.2010.0150.1640.1020.1970.1530.2210.1510.3130.1370.397-0.1701.000-0.7970.0690.0390.0390.1950.1690.1570.0920.0920.0170.0500.0570.053-0.0860.148-0.0070.4580.0370.0060.084-0.033-0.0330.479-0.3290.023-0.0050.0000.0000.636-0.0540.4210.504-0.150-0.2640.2200.225-0.0930.0910.0930.2380.1180.344-0.1820.0920.083-0.066-0.0850.0920.092-0.0920.0920.0920.0921.000
Grid Production ReactivePower StdDev [W]0.042-0.042-0.042-0.0770.0000.009-0.083-0.007-0.116-0.062-0.1940.118-0.042-0.0710.6030.5170.7220.201-0.0290.0430.042-0.172-0.013-0.0650.0680.019-0.150-0.130-0.155-0.150-0.166-0.146-0.149-0.042-0.042-0.096-0.065-0.002-0.123-0.122-0.122-0.166-0.057-0.2750.132-0.004-0.040-0.181-0.635-0.147-0.146-0.1480.000-0.108-0.045-0.158-0.122-0.161-0.095-0.298-0.111-0.2320.254-0.7971.000-0.069-0.045-0.028-0.118-0.090-0.079-0.042-0.0420.0390.0180.0070.0140.112-0.1440.112-0.559-0.054-0.019-0.1110.051-0.018-0.4870.129-0.0480.0750.0000.000-0.6680.159-0.505-0.3900.2590.413-0.161-0.0500.043-0.041-0.043-0.176-0.060-0.2760.134-0.042-0.0330.0990.111-0.042-0.0420.042-0.042-0.042-0.0421.000
Grid Production VoltagePhase1 Avg. [V]0.104-0.105-0.104-0.0280.316-0.1210.004-0.0060.1200.1200.1100.083-0.1040.012-0.133-0.142-0.1160.011-0.112-0.142-0.0340.034-0.0310.0360.0160.0020.1030.1020.1050.1090.1100.1030.012-0.105-0.1040.0800.0540.0240.0930.0940.0930.1120.1080.1200.010-0.0200.0110.0560.1290.1030.1040.1030.5000.1220.1220.1000.1430.1140.1130.0930.1410.0880.0780.069-0.0691.0000.9760.9620.0690.0610.056-0.104-0.1040.0690.0400.0450.0360.012-0.0130.0950.0040.0180.014-0.010-0.0150.0090.1300.0300.003-0.0570.3160.3160.1360.0760.0170.0940.050-0.0370.1140.0840.104-0.105-0.1040.1180.1080.1200.006-0.104-0.110-0.1500.011-0.104-0.1040.104-0.104-0.104-0.1041.000
Grid Production VoltagePhase2 Avg. [V]0.183-0.183-0.183-0.0340.316-0.169-0.014-0.0120.1350.1420.1160.115-0.183-0.009-0.127-0.141-0.1020.020-0.145-0.176-0.0850.030-0.0570.0320.0090.0020.1180.1170.1210.1240.1240.1190.010-0.183-0.1830.0720.0490.0200.1020.1030.1020.1290.1290.1300.029-0.043-0.0000.0550.1240.1210.1210.1210.5000.1400.1420.1150.1600.1330.1340.1030.1620.0760.0890.039-0.0450.9761.0000.9720.0730.0630.058-0.183-0.1830.0670.0380.0440.0350.005-0.0150.119-0.0280.0170.015-0.003-0.0130.0200.1300.0410.016-0.0780.3160.3160.1290.101-0.0080.0810.061-0.0370.1330.0800.183-0.184-0.1830.1350.1300.1300.024-0.183-0.188-0.1800.004-0.183-0.1830.182-0.183-0.183-0.1831.000
Grid Production VoltagePhase3 Avg. [V]0.151-0.151-0.151-0.0220.316-0.141-0.017-0.0150.2640.2730.2310.229-0.151-0.012-0.157-0.178-0.1160.078-0.117-0.175-0.0100.1540.0600.170-0.0020.0030.2540.2530.2560.2590.2550.2540.101-0.151-0.1510.1930.1900.1560.2420.2430.2420.2610.2620.2530.0370.0480.1340.1890.1920.2530.2540.2540.5000.2690.2730.2320.2700.2640.2660.2200.2690.1160.1590.039-0.0280.9620.9721.0000.2150.2050.200-0.151-0.1510.1530.1780.1850.176-0.005-0.0050.263-0.1260.0180.0160.007-0.0140.0230.2140.062-0.0110.0250.3160.3160.1950.246-0.0980.1250.127-0.0540.2640.1420.151-0.152-0.1510.2670.2620.2530.027-0.151-0.155-0.174-0.006-0.151-0.1510.150-0.151-0.151-0.1511.000
Grid RotorInvPhase1 Temp. Avg. [°C]-0.1310.1310.1310.1010.4470.066-0.0260.0030.8600.8460.8040.6870.131-0.023-0.305-0.360-0.2340.3880.075-0.1200.4270.8740.7180.960-0.0490.0110.9200.9150.9120.9070.8720.9110.6260.1310.1310.7890.9030.9210.9540.9490.9510.8890.8770.8280.0840.5920.8630.9750.6090.8930.8950.8930.5770.8550.8520.7820.7010.8940.8830.8170.6960.3810.4440.195-0.1180.0690.0730.2151.0000.9910.9860.1310.1310.5890.8910.8860.891-0.0920.1120.792-0.3590.0600.0070.092-0.0590.0360.6860.127-0.2060.5900.4470.4470.6060.837-0.2800.4350.425-0.1730.8950.494-0.1310.1310.1310.8840.8770.8290.0520.1310.123-0.102-0.0900.1310.131-0.1320.1310.1310.1311.000
Grid RotorInvPhase2 Temp. Avg. [°C]-0.1560.1560.1560.0990.4470.099-0.0240.0040.8310.8170.7770.6650.156-0.020-0.272-0.324-0.2040.3780.103-0.0840.4480.8650.7370.972-0.0500.0110.8940.8900.8840.8810.8460.8860.6210.1560.1560.7790.9000.9440.9370.9320.9340.8590.8480.8020.0720.6030.8710.9700.5710.8620.8640.8620.5780.8250.8230.7570.6690.8620.8520.7900.6650.3530.4280.169-0.0900.0610.0630.2050.9911.0000.9880.1560.1560.5860.8910.8850.891-0.0890.1060.778-0.3730.0580.0070.089-0.0560.0380.6460.123-0.2110.6160.4470.4470.5680.823-0.3010.4050.416-0.1620.8620.471-0.1560.1560.1560.8540.8480.8020.0410.1560.149-0.063-0.0880.1560.156-0.1570.1560.1560.1561.000
Grid RotorInvPhase3 Temp. Avg. [°C]-0.1560.1560.1560.0990.4470.100-0.0250.0050.8240.8100.7720.6600.156-0.019-0.272-0.324-0.2040.3780.104-0.0800.4460.8640.7320.968-0.0720.0130.8920.8880.8820.8780.8440.8830.6240.1560.1560.7760.8990.9510.9330.9280.9300.8560.8460.7990.0780.6000.8670.9650.5680.8600.8610.8600.5770.8190.8150.7520.6600.8580.8480.7840.6640.3370.4180.157-0.0790.0560.0580.2000.9860.9881.0000.1560.1560.5790.8870.8800.888-0.1110.1090.777-0.3730.0660.0120.110-0.0640.0680.6360.123-0.2030.6150.4470.4470.5620.821-0.3020.3870.415-0.1580.8580.456-0.1560.1560.1560.8510.8460.7990.0470.1560.149-0.060-0.1090.1560.156-0.1570.1560.1560.1561.000
Grid ok hours [h]-1.0001.0001.000-0.0070.0170.7640.0810.069-0.061-0.065-0.059-0.0631.0000.0730.0100.0230.006-0.0620.7330.7220.5960.1300.5300.2540.0850.003-0.046-0.055-0.059-0.065-0.060-0.0570.1251.0001.0000.1240.1870.2700.0070.0000.003-0.081-0.086-0.072-0.0260.4150.3620.152-0.064-0.080-0.078-0.0800.022-0.076-0.076-0.086-0.054-0.103-0.104-0.064-0.090-0.008-0.0650.092-0.042-0.104-0.183-0.1510.1310.1560.1561.0001.0000.0740.1990.1780.2070.089-0.020-0.0720.030-0.016-0.025-0.0900.014-0.103-0.046-0.034-0.2220.5390.0170.017-0.078-0.0850.019-0.005-0.0680.019-0.103-0.036-1.0001.0001.000-0.079-0.084-0.071-0.0181.0000.9890.7140.0901.0001.000-0.9991.0001.0001.0001.000
Grid on hours [h]-1.0001.0001.000-0.0070.0170.7640.0810.069-0.061-0.065-0.059-0.0631.0000.0730.0100.0230.006-0.0620.7330.7220.5960.1300.5300.2540.0850.003-0.046-0.055-0.059-0.065-0.060-0.0570.1251.0001.0000.1240.1870.2700.0070.0000.003-0.081-0.086-0.072-0.0260.4150.3620.152-0.064-0.080-0.078-0.0800.022-0.076-0.076-0.086-0.054-0.103-0.104-0.064-0.090-0.008-0.0650.092-0.042-0.104-0.183-0.1510.1310.1560.1561.0001.0000.0740.1990.1780.2070.089-0.020-0.0720.030-0.016-0.025-0.0900.014-0.103-0.046-0.034-0.2220.5390.0170.017-0.078-0.0850.019-0.005-0.0680.019-0.103-0.036-1.0001.0001.000-0.079-0.084-0.071-0.0181.0000.9890.7140.0901.0001.000-0.9991.0001.0001.0001.000
HVTrafo AirOutlet Temp. Avg. [°C]-0.0730.0730.073-0.0260.451-0.049-0.083-0.0520.5170.5160.4710.4500.074-0.063-0.021-0.0790.0240.221-0.036-0.1200.4710.5410.4840.5820.0780.0180.5260.5190.5200.5120.4750.5210.3530.0730.0730.4500.5650.5400.5700.5670.5680.4980.4940.457-0.0350.6430.5990.5770.2360.4890.4890.4890.5770.5150.5260.4770.4410.5110.5150.4680.4040.1600.2730.0170.0390.0690.0670.1530.5890.5860.5790.0740.0741.0000.6750.6750.6510.0850.0080.502-0.364-0.027-0.026-0.0860.027-0.1370.3290.076-0.1970.4910.4510.4510.2440.545-0.3200.1930.286-0.1260.5120.267-0.0730.0730.0720.4920.4930.457-0.0510.0740.073-0.0800.0870.0730.074-0.0740.0740.0740.0741.000
HVTrafo Phase1 Temp. Avg. [°C]-0.1990.1990.1990.0750.4470.114-0.0410.0070.7800.7820.7120.6820.199-0.041-0.131-0.200-0.0580.3750.113-0.0870.5250.8530.7710.8870.0240.0160.8210.8190.8080.8020.7500.8130.5540.1990.1990.7190.8920.8540.8890.8860.8880.7680.7730.7020.0450.6300.9290.8720.4400.7820.7840.7820.5780.7790.7850.7100.6200.7690.7720.7130.5960.2430.3950.0500.0180.0400.0380.1780.8910.8910.8870.1990.1990.6751.0000.9930.9950.0100.0180.743-0.4460.0300.001-0.010-0.027-0.0160.5300.151-0.2390.6740.4470.4470.4230.798-0.3880.2890.415-0.1430.7700.389-0.1980.1990.1980.7610.7730.7030.0160.1990.196-0.0570.0110.1990.199-0.1990.1990.1990.1991.000
HVTrafo Phase2 Temp. Avg. [°C]-0.1780.1790.1780.0740.4470.084-0.0420.0070.7870.7890.7140.6910.178-0.042-0.153-0.226-0.0750.3760.089-0.1160.4850.8540.7470.8750.0200.0160.8270.8260.8150.8080.7570.8200.5520.1790.1780.7170.8880.8410.8930.8910.8920.7750.7810.7110.0540.5980.9140.8670.4550.7890.7910.7890.5770.7850.7930.7130.6400.7770.7810.7150.6170.2540.4010.0570.0070.0450.0440.1850.8860.8850.8800.1780.1780.6750.9931.0000.9940.0070.0200.752-0.4440.0300.002-0.007-0.028-0.0140.5440.158-0.2260.6410.4470.4470.4370.800-0.3830.2980.405-0.1420.7770.391-0.1780.1790.1780.7710.7810.7120.0230.1780.175-0.0860.0080.1790.178-0.1780.1780.1790.1781.000
HVTrafo Phase3 Temp. Avg. [°C]-0.2070.2070.2070.0810.4470.124-0.0330.0090.7740.7760.7050.6780.207-0.034-0.140-0.211-0.0660.3770.128-0.0770.5050.8600.7750.8870.0050.0150.8220.8210.8100.8040.7520.8150.5580.2070.2070.7160.8930.8570.8900.8880.8890.7690.7740.7050.0480.6110.9290.8720.4460.7830.7850.7830.5780.7730.7800.7030.6240.7690.7720.7120.6020.2460.3950.0530.0140.0360.0350.1760.8910.8910.8880.2070.2070.6510.9950.9941.000-0.0090.0350.744-0.4420.0360.0030.010-0.034-0.0040.5330.153-0.2340.6720.4470.4470.4280.796-0.3840.2910.409-0.1390.7700.388-0.2060.2070.2060.7630.7740.7060.0180.2070.204-0.048-0.0090.2070.207-0.2070.2070.2070.2071.000
HourCounters Average AlarmActive Avg. [h]-0.0890.0890.089-0.3380.0000.065-0.017-0.0150.0820.0860.0590.1100.089-0.0410.2770.2660.281-0.1120.0290.0320.096-0.1400.054-0.0350.8190.115-0.184-0.181-0.180-0.199-0.207-0.182-0.2170.0890.089-0.034-0.039-0.123-0.107-0.112-0.110-0.226-0.180-0.251-0.0480.0310.014-0.094-0.260-0.197-0.200-0.1980.0000.0870.0840.059-0.043-0.179-0.164-0.184-0.173-0.082-0.007-0.0860.1120.0120.005-0.005-0.092-0.089-0.1110.0890.0890.0850.0100.007-0.0091.000-0.746-0.114-0.138-0.394-0.086-0.9950.384-0.730-0.120-0.016-0.0850.0160.0000.000-0.290-0.095-0.131-0.089-0.033-0.032-0.179-0.073-0.0900.0890.089-0.230-0.181-0.253-0.0420.0890.0880.0651.0000.0890.089-0.0900.0890.0890.0891.000
HourCounters Average AmbientOk Avg. [h]0.020-0.021-0.0200.4390.161-0.0020.005-0.006-0.132-0.135-0.118-0.145-0.0200.021-0.209-0.209-0.2090.0760.0320.027-0.0240.1030.0240.086-0.609-0.0590.1450.1440.1440.1590.1680.1460.177-0.021-0.0200.0390.0240.1000.0930.0930.0920.1680.1270.1830.0010.0330.0310.1160.1830.1400.1430.1420.029-0.134-0.112-0.1140.0760.1450.1300.1530.1220.1660.0710.148-0.144-0.013-0.015-0.0050.1120.1060.109-0.020-0.0200.0080.0180.0200.035-0.7461.0000.0860.1050.5370.1990.755-0.5240.2970.135-0.0190.0370.0660.1610.1610.2400.0710.0990.1760.0280.0280.1460.1440.020-0.021-0.0200.1710.1270.1850.001-0.020-0.0220.004-0.737-0.020-0.0200.020-0.020-0.020-0.0201.000
HourCounters Average Gen1 Avg. [h]0.072-0.072-0.0720.0560.000-0.171-0.055-0.0230.8160.8080.7570.643-0.072-0.045-0.280-0.291-0.1760.260-0.136-0.3230.1630.6480.4220.705-0.089-0.0010.8530.8540.8540.8550.8470.8520.452-0.072-0.0720.6950.7390.6890.8420.8420.8410.8490.8410.8200.0630.3340.6090.7170.4630.8470.8500.8500.0000.8180.8170.7800.6840.8490.8420.7810.6910.2250.417-0.0070.1120.0950.1190.2630.7920.7780.777-0.072-0.0720.5020.7430.7520.744-0.1140.0861.000-0.7020.0540.0180.115-0.0520.0910.5470.081-0.1200.3060.0000.0000.4490.958-0.6390.2540.407-0.1560.8490.3530.072-0.072-0.0730.8540.8420.8210.039-0.072-0.079-0.296-0.114-0.072-0.0720.072-0.072-0.072-0.0721.000
HourCounters Average Gen2 Avg. [h]-0.0300.0310.0310.0600.0000.0460.0890.050-0.380-0.389-0.346-0.3460.0300.075-0.250-0.273-0.3260.0820.0620.125-0.143-0.192-0.253-0.364-0.117-0.015-0.348-0.354-0.350-0.344-0.335-0.352-0.0520.0310.031-0.309-0.350-0.371-0.366-0.365-0.365-0.330-0.347-0.3090.076-0.178-0.315-0.2640.220-0.333-0.336-0.3350.000-0.388-0.392-0.452-0.224-0.336-0.340-0.357-0.1960.309-0.0890.458-0.5590.004-0.028-0.126-0.359-0.373-0.3730.0300.030-0.364-0.446-0.444-0.442-0.1380.105-0.7021.0000.0530.0130.139-0.0530.1020.0510.0760.117-0.2400.0000.0000.280-0.6720.9390.303-0.2590.121-0.3360.110-0.0300.0290.031-0.333-0.346-0.3100.0780.0300.0250.058-0.1380.0310.030-0.0300.0300.0310.0311.000
HourCounters Average GridOk Avg. [h]0.016-0.017-0.0160.2780.231-0.029-0.041-0.0310.0060.0030.025-0.011-0.016-0.009-0.110-0.106-0.1110.0260.005-0.008-0.0270.069-0.0160.036-0.006-0.0410.0930.0920.0890.0950.0940.0920.117-0.017-0.0160.0440.0530.0670.0690.0710.0700.1020.0920.1030.0440.0210.0360.0620.1090.0940.0930.0950.058-0.001-0.0080.025-0.0410.0840.0810.0780.0800.026-0.0030.037-0.0540.0180.0170.0180.0600.0580.066-0.016-0.016-0.0270.0300.0300.036-0.3940.5370.0540.0531.0000.3630.416-0.9520.5490.0060.0450.0540.0260.2310.2310.1170.0510.0460.0310.0140.0060.0860.0240.016-0.017-0.0160.1040.0920.1050.043-0.016-0.017-0.031-0.393-0.016-0.0160.016-0.016-0.016-0.0161.000
HourCounters Average GridOn Avg. [h]0.025-0.025-0.0250.3060.529-0.0240.0130.0010.0080.0070.024-0.007-0.0250.036-0.035-0.031-0.033-0.010-0.016-0.018-0.0260.025-0.024-0.0040.0030.0000.0320.0320.0310.0320.0310.0320.046-0.025-0.0250.0090.0130.0200.0190.0200.0200.0330.0280.0310.007-0.0130.0010.0100.0390.0320.0320.0320.5770.0040.0130.026-0.0140.0220.0230.0240.0220.003-0.0130.006-0.0190.0140.0150.0160.0070.0070.012-0.025-0.025-0.0260.0010.0020.003-0.0860.1990.0180.0130.3631.0000.151-0.1780.2040.0280.0080.033-0.0100.5290.5290.0300.0170.0090.0040.000-0.0140.0270.0030.025-0.024-0.0250.0340.0280.0310.006-0.025-0.025-0.024-0.088-0.025-0.0250.025-0.025-0.025-0.0251.000
HourCounters Average Run Avg. [h]0.090-0.089-0.0890.3530.089-0.0660.0180.015-0.081-0.085-0.059-0.109-0.0900.043-0.277-0.267-0.2810.113-0.029-0.033-0.0970.141-0.0550.034-0.815-0.1140.1850.1810.1810.1990.2080.1830.219-0.089-0.0890.0350.0390.1230.1070.1130.1100.2270.1810.2510.049-0.031-0.0130.0940.2610.1980.2000.1990.015-0.087-0.082-0.0570.0420.1790.1650.1840.1740.0790.0080.084-0.111-0.010-0.0030.0070.0920.0890.110-0.090-0.090-0.086-0.010-0.0070.010-0.9950.7550.1150.1390.4160.1511.000-0.3960.7400.1220.0170.086-0.0160.0890.0890.2890.0960.1300.0860.0330.0310.1800.0710.090-0.089-0.0890.2310.1820.2530.042-0.090-0.089-0.066-0.995-0.090-0.0900.090-0.090-0.090-0.0901.000
HourCounters Average ServiceOn Avg. [h]-0.0140.0150.014-0.2380.2200.0270.0490.033-0.0020.001-0.0200.0120.0140.0180.1070.1050.108-0.032-0.0060.0060.027-0.0650.016-0.036-0.0010.013-0.090-0.088-0.086-0.091-0.091-0.088-0.1120.0150.014-0.043-0.050-0.064-0.067-0.068-0.067-0.099-0.090-0.101-0.047-0.022-0.035-0.061-0.108-0.092-0.090-0.0920.0000.0050.012-0.0200.042-0.084-0.079-0.075-0.080-0.022-0.001-0.0330.051-0.015-0.013-0.014-0.059-0.056-0.0640.0140.0140.027-0.027-0.028-0.0340.384-0.524-0.052-0.053-0.952-0.178-0.3961.000-0.5360.001-0.048-0.050-0.0280.2200.220-0.117-0.050-0.048-0.025-0.016-0.012-0.084-0.019-0.0140.0150.014-0.101-0.091-0.103-0.0460.0140.0160.0280.3830.0140.014-0.0130.0140.0140.0141.000
HourCounters Average TurbineOk Avg. [h]0.103-0.103-0.1030.1690.120-0.097-0.0080.0100.0250.0210.050-0.007-0.1030.022-0.205-0.195-0.2070.097-0.065-0.072-0.1180.114-0.109-0.027-0.465-0.0840.1430.1400.1360.1490.1500.1380.167-0.103-0.1030.0270.0500.0960.0810.0900.0860.1800.1590.1910.094-0.064-0.0320.0360.2170.1690.1690.1690.0250.015-0.0030.047-0.0470.1320.1280.1200.151-0.060-0.063-0.033-0.0180.0090.0200.0230.0360.0380.068-0.103-0.103-0.137-0.016-0.014-0.004-0.7300.2970.0910.1020.5490.2040.740-0.5361.0000.0220.0720.101-0.0710.1200.1200.1910.0820.094-0.0640.0300.0220.133-0.0510.104-0.103-0.1030.1840.1600.1930.084-0.103-0.101-0.104-0.737-0.103-0.1030.104-0.103-0.103-0.1031.000
HourCounters Average WindOk Avg. [h]0.046-0.046-0.0460.0860.021-0.1630.0170.0150.7460.7160.7160.508-0.0460.012-0.679-0.711-0.6260.205-0.112-0.3080.0890.6620.3150.565-0.1370.0100.7740.7510.7780.7520.7370.7660.470-0.046-0.0460.5930.6120.5010.7350.7340.7340.7680.7290.7200.2290.2600.4960.7020.8520.7810.7810.7810.0000.7450.7210.6840.6980.7860.7570.7260.6780.4700.2860.479-0.4870.1300.1300.2140.6860.6460.636-0.046-0.0460.3290.5300.5440.533-0.1200.1350.5470.0510.0060.0280.1220.0010.0221.0000.080-0.0390.1580.0210.0210.8320.5250.1640.5260.243-0.2610.7870.4420.046-0.046-0.0460.7630.7300.7190.201-0.046-0.063-0.332-0.119-0.046-0.0460.045-0.046-0.046-0.0461.000
HourCounters Average Yaw Avg. [h]0.034-0.034-0.0340.0080.000-0.115-0.0410.1230.1360.2160.0120.383-0.034-0.0430.010-0.1580.1070.432-0.056-0.0840.0020.1630.0620.107-0.018-0.0010.1380.1450.1320.1360.1100.1370.131-0.034-0.0340.1190.1570.1120.1570.1590.1580.1380.2310.0280.2760.0350.1320.1410.0990.1500.1480.1470.0000.1390.217-0.0330.3140.1330.214-0.0320.3260.2240.537-0.3290.1290.0300.0410.0620.1270.1230.123-0.034-0.0340.0760.1510.1580.153-0.016-0.0190.0810.0760.0450.0080.017-0.0480.0720.0801.000-0.0420.0420.0000.0000.1130.1040.0740.1930.1770.2070.1330.2710.035-0.034-0.0340.1290.2280.0310.252-0.034-0.038-0.082-0.017-0.034-0.0340.035-0.034-0.034-0.0341.000
Hydraulic Oil Temp. Avg. [°C]0.222-0.221-0.2220.0140.448-0.137-0.034-0.025-0.135-0.143-0.112-0.152-0.222-0.036-0.076-0.039-0.093-0.101-0.132-0.093-0.263-0.185-0.273-0.236-0.069-0.004-0.132-0.132-0.127-0.124-0.100-0.128-0.101-0.221-0.222-0.167-0.198-0.212-0.164-0.160-0.162-0.119-0.128-0.1040.049-0.243-0.247-0.212-0.002-0.120-0.120-0.1200.577-0.133-0.145-0.109-0.112-0.120-0.124-0.105-0.083-0.041-0.0930.023-0.0480.0030.016-0.011-0.206-0.211-0.203-0.222-0.222-0.197-0.239-0.226-0.234-0.0850.037-0.1200.1170.0540.0330.086-0.0500.101-0.039-0.0421.000-0.2690.4480.448-0.012-0.1530.115-0.050-0.1000.010-0.119-0.0900.222-0.221-0.222-0.117-0.127-0.1040.054-0.222-0.215-0.107-0.086-0.221-0.2220.222-0.222-0.222-0.2221.000
Nacelle Temp. Avg. [°C]-0.5390.5390.5390.0590.3160.6740.0320.0260.3290.3280.3000.3050.5390.0310.1250.0840.1310.2270.5970.5250.8580.5880.9080.7050.0250.0070.3900.3810.3700.3700.3310.3770.4410.5390.5390.3990.6140.7020.4660.4590.4630.3290.3330.288-0.0690.8290.8040.6030.1010.3390.3400.3370.4080.3170.3220.2910.1950.3220.3200.3230.1670.0670.169-0.0050.075-0.057-0.0780.0250.5900.6160.6150.5390.5390.4910.6740.6410.6720.0160.0660.306-0.2400.026-0.010-0.016-0.028-0.0710.1580.042-0.2691.0000.3160.3160.0960.381-0.2350.0990.254-0.0550.3230.191-0.5380.5390.5390.3160.3330.289-0.0750.5390.5490.5580.0180.5390.539-0.5380.5390.5390.5391.000
Power factor set point0.0230.0100.0180.5770.9000.0320.0020.0140.0000.0000.2230.0000.0170.0510.1100.2230.2230.0000.4470.4470.4490.4470.4480.4470.0000.0000.4470.4470.4470.4480.4480.4470.4500.0170.0180.4470.4470.4470.4470.4470.4470.0390.0440.2230.0000.4470.4470.4470.0420.0000.0000.0000.4490.0000.0060.0000.0370.0000.4470.0310.0000.0000.0000.0000.0000.3160.3160.3160.4470.4470.4470.0170.0170.4510.4470.4470.4470.0000.1610.0000.0000.2310.5290.0890.2200.1200.0210.0000.4480.3161.0000.9000.0000.0000.0000.0000.0000.0000.0000.0000.0220.0170.0230.0390.0440.2230.0000.0160.1410.4470.0000.0110.0170.0220.0160.0180.0201.000
Power factor set point source0.0230.0100.0180.5770.9000.0320.0020.0140.0000.0000.2230.0000.0170.0510.1100.2230.2230.0000.4470.4470.4490.4470.4480.4470.0000.0000.4470.4470.4470.4480.4480.4470.4500.0170.0180.4470.4470.4470.4470.4470.4470.0390.0440.2230.0000.4470.4470.4470.0420.0000.0000.0000.4490.0000.0060.0000.0370.0000.4470.0310.0000.0000.0000.0000.0000.3160.3160.3160.4470.4470.4470.0170.0170.4510.4470.4470.4470.0000.1610.0000.0000.2310.5290.0890.2200.1200.0210.0000.4480.3160.9001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0220.0170.0230.0390.0440.2230.0000.0160.1410.4470.0000.0110.0170.0220.0160.0180.0201.000
Production LatestAverage Active Power Gen 0 Avg. [W]0.078-0.077-0.0780.1380.000-0.1850.0390.0170.6210.5880.6080.388-0.0780.036-0.694-0.707-0.6880.277-0.124-0.2910.0310.6160.2410.484-0.229-0.0240.6990.6860.6990.7030.7000.6920.495-0.077-0.0780.5260.5310.4360.6590.6600.6590.7130.6500.7200.0870.2090.4060.6300.9420.7000.7010.7020.0000.6160.5870.5380.6030.7160.6780.6620.6310.5770.2760.636-0.6680.1360.1290.1950.6060.5680.562-0.078-0.0780.2440.4230.4370.428-0.2900.2400.4490.2800.1170.0300.289-0.1170.1910.8320.113-0.0120.0960.0000.0001.0000.4280.2940.6460.194-0.2570.7160.5070.078-0.078-0.0770.7130.6520.7210.063-0.078-0.093-0.333-0.289-0.078-0.0780.078-0.078-0.078-0.0781.000
Production LatestAverage Active Power Gen 1 Avg. [W]0.085-0.085-0.0850.0510.000-0.167-0.053-0.0380.8600.8550.8000.713-0.085-0.041-0.117-0.165-0.0270.388-0.151-0.3320.2230.7140.4820.752-0.0690.0120.8880.8900.8860.8890.8550.8840.499-0.085-0.0850.7130.7730.7230.8770.8760.8760.8800.8820.826-0.0020.4070.6610.7800.4460.8890.8910.8910.0070.8630.8640.8190.6630.8900.8840.8130.6700.2160.449-0.0540.1590.0760.1010.2460.8370.8230.821-0.085-0.0850.5450.7980.8000.796-0.0950.0710.958-0.6720.0510.0170.096-0.0500.0820.5250.104-0.1530.3810.0000.0000.4281.000-0.6130.2410.506-0.1500.8900.3980.086-0.085-0.0860.8770.8820.827-0.031-0.085-0.092-0.298-0.094-0.085-0.0850.085-0.085-0.085-0.0851.000
Production LatestAverage Active Power Gen 2 Avg. [W]-0.0190.0190.0190.0550.0000.0210.0670.061-0.276-0.279-0.264-0.2470.0190.055-0.333-0.375-0.3600.0550.0440.083-0.143-0.135-0.230-0.308-0.112-0.013-0.253-0.262-0.252-0.258-0.249-0.257-0.0340.0190.019-0.245-0.283-0.323-0.284-0.284-0.283-0.231-0.238-0.2590.221-0.165-0.261-0.2010.259-0.231-0.234-0.2340.000-0.281-0.280-0.365-0.113-0.232-0.231-0.302-0.0820.342-0.0580.421-0.5050.017-0.008-0.098-0.280-0.301-0.3020.0190.019-0.320-0.388-0.383-0.384-0.1310.099-0.6390.9390.0460.0090.130-0.0480.0940.1640.0740.115-0.2350.0000.0000.294-0.6131.0000.305-0.1920.128-0.2320.149-0.0190.0170.020-0.236-0.238-0.2600.2210.0190.0110.020-0.1300.0190.019-0.0180.0190.0190.0191.000
Production LatestAverage Reactive Power Gen 0 Avg. [var]0.005-0.005-0.0050.1000.000-0.0890.0190.0200.3910.3830.3460.302-0.0050.013-0.477-0.510-0.4430.401-0.041-0.1530.0630.4150.2220.372-0.035-0.0070.4510.4590.4490.4670.4810.4490.363-0.005-0.0050.3810.3710.2870.4500.4470.4480.4640.4370.4580.0390.1880.3050.4560.5410.4380.4380.4390.0000.3880.4090.2410.4660.4650.4630.3590.4510.9060.5310.504-0.3900.0940.0810.1250.4350.4050.387-0.005-0.0050.1930.2890.2980.291-0.0890.1760.2540.3030.0310.0040.086-0.025-0.0640.5260.193-0.0500.0990.0000.0000.6460.2410.3051.0000.1110.1350.4650.8050.005-0.006-0.0050.4700.4370.4580.009-0.005-0.018-0.189-0.086-0.005-0.0050.005-0.005-0.005-0.0051.000
Production LatestAverage Reactive Power Gen 1 Avg. [var]0.068-0.068-0.0680.0130.000-0.093-0.032-0.0120.4410.4590.3730.457-0.068-0.0260.1450.0330.2160.411-0.107-0.1800.1730.3950.2770.385-0.0280.0110.4410.4440.4350.4410.4010.4350.283-0.068-0.0680.3500.3950.3650.4400.4390.4390.4380.4810.3290.0800.2650.3650.4030.2080.4570.4570.4570.0000.4460.4690.3680.3430.4570.4750.3240.3490.1800.399-0.1500.2590.0500.0610.1270.4250.4160.415-0.068-0.0680.2860.4150.4050.409-0.0330.0280.407-0.2590.0140.0000.033-0.0160.0300.2430.177-0.1000.2540.0000.0000.1940.506-0.1920.1111.000-0.0020.4560.5670.068-0.067-0.0680.4140.4800.3290.072-0.068-0.071-0.154-0.033-0.068-0.0680.068-0.068-0.068-0.0681.000
Production LatestAverage Reactive Power Gen 2 Avg. [var]-0.0190.0190.0190.0070.0000.032-0.0220.029-0.221-0.176-0.296-0.0260.019-0.0220.1520.0620.2640.3650.0420.096-0.049-0.170-0.087-0.139-0.033-0.002-0.200-0.184-0.205-0.190-0.178-0.196-0.0620.0190.019-0.126-0.140-0.109-0.181-0.181-0.181-0.190-0.101-0.2710.216-0.077-0.122-0.176-0.322-0.194-0.194-0.1960.000-0.220-0.140-0.392-0.053-0.205-0.132-0.399-0.0390.3270.404-0.2640.413-0.037-0.037-0.054-0.173-0.162-0.1580.0190.019-0.126-0.143-0.142-0.139-0.0320.028-0.1560.1210.006-0.0140.031-0.0120.022-0.2610.2070.010-0.0550.0000.000-0.257-0.1500.1280.135-0.0021.000-0.2060.307-0.0190.0190.019-0.186-0.102-0.2710.2060.0190.0200.092-0.0310.0190.019-0.0190.0190.0190.0191.000
Production LatestAverage Total Active Power Avg. [W]0.103-0.103-0.1030.0950.000-0.207-0.029-0.0140.9360.9200.8820.733-0.103-0.022-0.417-0.467-0.3350.402-0.168-0.3770.1800.8080.4600.766-0.1340.0070.9790.9730.9790.9740.9440.9710.586-0.103-0.1030.7560.8050.7170.9390.9390.9380.9840.9720.9180.1400.3980.6710.8600.7230.9910.9910.9910.0030.9370.9300.8660.7791.0000.9850.9020.7990.4100.4680.220-0.1610.1140.1330.2640.8950.8620.858-0.103-0.1030.5120.7700.7770.770-0.1790.1460.849-0.3360.0860.0270.180-0.0840.1330.7870.133-0.1190.3230.0000.0000.7160.890-0.2320.4650.456-0.2061.0000.5180.103-0.103-0.1030.9790.9720.9190.106-0.103-0.116-0.368-0.178-0.103-0.1030.102-0.103-0.103-0.1031.000
Production LatestAverage Total Reactive Power Avg. [var]0.036-0.036-0.0360.0820.000-0.106-0.0110.0100.4550.4680.3690.444-0.036-0.012-0.225-0.325-0.1310.580-0.078-0.1820.1250.4590.2860.439-0.029-0.0050.5020.5130.4960.5160.5090.4990.383-0.036-0.0360.4230.4360.3670.5080.5050.5060.5110.5310.4280.1140.2560.3800.4990.4170.4970.4970.4970.0000.4560.5000.2670.4960.5180.5410.3280.4860.8710.6890.225-0.0500.0840.0800.1420.4940.4710.456-0.036-0.0360.2670.3890.3910.388-0.0730.1440.3530.1100.0240.0030.071-0.019-0.0510.4420.271-0.0900.1910.0000.0000.5070.3980.1490.8050.5670.3070.5181.0000.036-0.037-0.0360.5020.5290.4290.089-0.036-0.047-0.193-0.071-0.036-0.0360.036-0.036-0.036-0.0361.000
Reactive power generator 0,Total accumulated [var]1.000-1.000-1.0000.0080.022-0.763-0.080-0.0690.0610.0650.0590.063-1.000-0.071-0.009-0.022-0.0060.063-0.732-0.722-0.595-0.128-0.529-0.254-0.086-0.0030.0470.0550.0600.0650.0600.058-0.124-1.000-1.000-0.125-0.187-0.270-0.0070.000-0.0030.0810.0860.0720.025-0.415-0.361-0.1520.0650.0800.0780.0800.0220.0750.0760.0860.0530.1030.1040.0640.0890.0080.065-0.0930.0430.1040.1830.151-0.131-0.156-0.156-1.000-1.000-0.073-0.198-0.178-0.206-0.0900.0200.072-0.0300.0160.0250.090-0.0140.1040.0460.0350.222-0.5380.0220.0220.0780.086-0.0190.0050.068-0.0190.1030.0361.000-0.999-1.0000.0790.0840.0710.017-1.000-0.989-0.714-0.090-1.000-1.0001.000-1.000-1.000-1.0001.000
Reactive power generator 1, Total accumulated [var]-1.0001.0001.000-0.0070.0170.7630.0800.069-0.061-0.065-0.059-0.0621.0000.0720.0120.0240.008-0.0610.7320.7220.5960.1310.5300.2540.0840.002-0.046-0.055-0.059-0.065-0.060-0.0570.1251.0001.0000.1230.1870.2710.0080.0010.004-0.081-0.086-0.072-0.0270.4140.3620.152-0.065-0.080-0.077-0.0800.022-0.075-0.076-0.085-0.054-0.103-0.104-0.064-0.090-0.009-0.0650.091-0.041-0.105-0.184-0.1520.1310.1560.1561.0001.0000.0730.1990.1790.2070.089-0.021-0.0720.029-0.017-0.024-0.0890.015-0.103-0.046-0.034-0.2210.5390.0170.017-0.078-0.0850.017-0.006-0.0670.019-0.103-0.037-0.9991.0001.000-0.079-0.084-0.070-0.0191.0000.9890.7140.0901.0001.000-0.9991.0001.0001.0001.000
Reactive power generator 2, Total accumulated [var]-1.0001.0001.000-0.0070.0230.7640.0810.069-0.061-0.066-0.059-0.0631.0000.0730.0090.0220.006-0.0620.7340.7230.5960.1300.5300.2540.0850.003-0.047-0.055-0.060-0.065-0.060-0.0580.1251.0001.0000.1240.1860.2700.007-0.0000.003-0.081-0.086-0.072-0.0250.4150.3610.152-0.064-0.080-0.078-0.0800.022-0.076-0.076-0.086-0.054-0.103-0.104-0.064-0.090-0.008-0.0650.093-0.043-0.104-0.183-0.1510.1310.1560.1561.0001.0000.0720.1980.1780.2060.089-0.020-0.0730.031-0.016-0.025-0.0890.014-0.103-0.046-0.034-0.2220.5390.0230.023-0.077-0.0860.020-0.005-0.0680.019-0.103-0.036-1.0001.0001.000-0.079-0.084-0.071-0.0181.0000.9890.7150.0901.0001.000-0.9991.0001.0001.0001.000
Rotor RPM Avg. [RPM]0.079-0.078-0.0790.1020.039-0.187-0.026-0.0040.9210.8990.8740.697-0.079-0.021-0.466-0.503-0.3800.372-0.142-0.3560.1750.7980.4540.756-0.184-0.0080.9730.9690.9750.9720.9550.9660.597-0.078-0.0790.7560.8040.7190.9290.9290.9290.9940.9600.9480.1210.3880.6640.8420.7130.9810.9810.9810.0000.9150.9080.8470.7740.9790.9630.8960.7960.4150.4480.238-0.1760.1180.1350.2670.8840.8540.851-0.079-0.0790.4920.7610.7710.763-0.2300.1710.854-0.3330.1040.0340.231-0.1010.1840.7630.129-0.1170.3160.0390.0390.7130.877-0.2360.4700.414-0.1860.9790.5020.079-0.079-0.0791.0000.9610.9480.083-0.079-0.091-0.353-0.230-0.079-0.0790.078-0.079-0.079-0.0791.000
Rotor RPM Max. [RPM]0.084-0.084-0.0840.0880.044-0.193-0.0450.0090.9170.9250.8290.796-0.084-0.038-0.383-0.478-0.2620.493-0.146-0.3510.1900.7930.4600.754-0.1350.0100.9590.9560.9580.9520.9240.9510.592-0.084-0.0840.7470.8070.7190.9240.9230.9230.9670.9990.8650.2730.3990.6750.8360.6600.9760.9760.9750.0000.9170.9370.8010.8190.9720.9880.8260.8450.4120.5500.118-0.0600.1080.1300.2620.8770.8480.846-0.084-0.0840.4930.7730.7810.774-0.1810.1270.842-0.3460.0920.0280.182-0.0910.1600.7300.228-0.1270.3330.0440.0440.6520.882-0.2380.4370.480-0.1020.9720.5290.084-0.084-0.0840.9611.0000.8660.234-0.084-0.096-0.341-0.180-0.084-0.0840.083-0.084-0.084-0.0841.000
Rotor RPM Min. [RPM]0.070-0.070-0.0700.1030.223-0.1670.010-0.0220.8640.8100.8820.535-0.0710.013-0.480-0.448-0.4610.251-0.133-0.3400.1590.7510.4270.709-0.206-0.0300.9150.9100.9180.9220.9090.9090.567-0.070-0.0700.7130.7470.6730.8700.8700.8690.9390.8640.998-0.0630.3650.6090.7860.7030.9180.9190.9191.0000.8510.8170.8560.6610.9190.8740.9270.6790.3620.3290.344-0.2760.1200.1300.2530.8290.8020.799-0.071-0.0710.4570.7030.7120.706-0.2530.1850.821-0.3100.1050.0310.253-0.1030.1930.7190.031-0.1040.2890.2230.2230.7210.827-0.2600.4580.329-0.2710.9190.4290.071-0.070-0.0710.9480.8661.000-0.097-0.071-0.082-0.344-0.254-0.070-0.0710.070-0.071-0.070-0.0701.000
Rotor RPM StdDev [RPM]0.018-0.018-0.0180.0120.000-0.068-0.0810.1050.0990.162-0.0340.299-0.018-0.080-0.311-0.384-0.1250.161-0.022-0.045-0.0600.041-0.0570.014-0.0210.0200.1040.1010.1020.0750.1010.1030.076-0.018-0.0180.0720.0880.0440.0860.0870.0870.1000.234-0.0950.985-0.0340.0440.0170.0730.1250.1240.1210.0000.1030.169-0.0550.2960.1060.183-0.0990.3220.1090.305-0.1820.1340.0060.0240.0270.0520.0410.047-0.018-0.018-0.0510.0160.0230.018-0.0420.0010.0390.0780.0430.0060.042-0.0460.0840.2010.2520.054-0.0750.0000.0000.063-0.0310.2210.0090.0720.2060.1060.0890.017-0.019-0.0180.0830.234-0.0971.000-0.018-0.024-0.054-0.041-0.018-0.0180.017-0.018-0.018-0.0181.000
Run hours [h]-1.0001.0001.000-0.0070.0160.7640.0810.069-0.061-0.065-0.059-0.0631.0000.0730.0100.0230.006-0.0620.7330.7220.5960.1300.5300.2540.0850.003-0.046-0.055-0.059-0.065-0.060-0.0570.1251.0001.0000.1240.1870.2700.0070.0000.003-0.081-0.086-0.072-0.0260.4150.3620.152-0.064-0.080-0.078-0.0800.021-0.076-0.076-0.086-0.054-0.103-0.104-0.064-0.090-0.008-0.0650.092-0.042-0.104-0.183-0.1510.1310.1560.1561.0001.0000.0740.1990.1780.2070.089-0.020-0.0720.030-0.016-0.025-0.0900.014-0.103-0.046-0.034-0.2220.5390.0160.016-0.078-0.0850.019-0.005-0.0680.019-0.103-0.036-1.0001.0001.000-0.079-0.084-0.071-0.0181.0000.9890.7140.0901.0001.000-0.9991.0001.0001.0001.000
Service hours [h]-0.9890.9890.989-0.0060.1410.7830.0970.069-0.073-0.078-0.070-0.0730.9890.0880.0230.0370.018-0.0690.7500.7460.6100.1180.5340.2500.0860.001-0.059-0.067-0.072-0.077-0.071-0.0700.1220.9890.9890.1130.1750.268-0.005-0.012-0.009-0.094-0.098-0.083-0.0330.4240.3600.143-0.080-0.093-0.090-0.0930.015-0.088-0.089-0.096-0.067-0.117-0.117-0.075-0.102-0.021-0.0730.083-0.033-0.110-0.188-0.1550.1230.1490.1490.9890.9890.0730.1960.1750.2040.088-0.022-0.0790.025-0.017-0.025-0.0890.016-0.101-0.063-0.038-0.2150.5490.1410.141-0.093-0.0920.011-0.018-0.0710.020-0.116-0.047-0.9890.9890.989-0.091-0.096-0.082-0.0240.9891.0000.7380.0890.9890.989-0.9890.9890.9890.9891.000
Spinner Temp. Avg. [°C]-0.7150.7140.7150.0200.4470.8980.0830.048-0.347-0.337-0.340-0.2550.7140.0780.2230.2410.200-0.1430.8680.9860.574-0.1170.4590.0680.051-0.002-0.322-0.332-0.336-0.337-0.324-0.334-0.0110.7140.715-0.149-0.0560.106-0.276-0.284-0.281-0.354-0.342-0.345-0.0740.3680.170-0.077-0.331-0.355-0.355-0.3570.577-0.359-0.352-0.347-0.304-0.368-0.362-0.331-0.325-0.172-0.186-0.0660.099-0.150-0.180-0.174-0.102-0.063-0.0600.7140.714-0.080-0.057-0.086-0.0480.0650.004-0.2960.058-0.031-0.024-0.0660.028-0.104-0.332-0.082-0.1070.5580.4470.447-0.333-0.2980.020-0.189-0.1540.092-0.368-0.193-0.7140.7140.715-0.353-0.341-0.344-0.0540.7140.7381.0000.0670.7140.714-0.7140.7140.7140.7141.000
System Logs First Active Alarm No-0.0900.0900.089-0.3340.0000.066-0.017-0.0150.0800.0840.0570.1080.090-0.0410.2760.2650.281-0.1100.0300.0330.098-0.1400.056-0.0330.8180.117-0.183-0.180-0.179-0.198-0.206-0.181-0.2160.0900.089-0.034-0.039-0.122-0.106-0.112-0.109-0.226-0.179-0.252-0.0480.0330.015-0.092-0.260-0.196-0.198-0.1970.0000.0850.0820.056-0.041-0.178-0.162-0.184-0.171-0.079-0.004-0.0850.1110.0110.004-0.006-0.090-0.088-0.1090.0900.0900.0870.0110.008-0.0091.000-0.737-0.114-0.138-0.393-0.088-0.9950.383-0.737-0.119-0.017-0.0860.0180.0000.000-0.289-0.094-0.130-0.086-0.033-0.031-0.178-0.071-0.0900.0900.090-0.230-0.180-0.254-0.0410.0900.0890.0671.0000.0900.090-0.0910.0900.0900.0901.000
Total Active power [W]-1.0001.0001.000-0.0070.0110.7640.0810.069-0.061-0.065-0.059-0.0631.0000.0730.0100.0230.006-0.0620.7330.7220.5960.1310.5300.2540.0850.003-0.046-0.055-0.059-0.065-0.059-0.0570.1261.0001.0000.1240.1870.2700.0070.0010.003-0.081-0.086-0.072-0.0260.4150.3620.152-0.064-0.080-0.078-0.0800.022-0.076-0.076-0.086-0.054-0.103-0.104-0.064-0.090-0.008-0.0650.092-0.042-0.104-0.183-0.1510.1310.1560.1561.0001.0000.0730.1990.1790.2070.089-0.020-0.0720.031-0.016-0.025-0.0900.014-0.103-0.046-0.034-0.2210.5390.0110.011-0.078-0.0850.019-0.005-0.0680.019-0.103-0.036-1.0001.0001.000-0.079-0.084-0.070-0.0181.0000.9890.7140.0901.0001.000-0.9991.0001.0001.0001.000
Total hour counter [h]-1.0001.0001.000-0.0070.0170.7640.0810.069-0.061-0.065-0.059-0.0631.0000.0730.0100.0230.006-0.0620.7330.7220.5960.1300.5300.2540.0850.003-0.046-0.055-0.059-0.065-0.060-0.0570.1251.0001.0000.1240.1870.2700.0070.0000.003-0.081-0.086-0.072-0.0260.4150.3620.152-0.064-0.080-0.078-0.0800.022-0.076-0.076-0.086-0.054-0.103-0.104-0.064-0.090-0.008-0.0650.092-0.042-0.104-0.183-0.1510.1310.1560.1561.0001.0000.0740.1990.1780.2070.089-0.020-0.0720.030-0.016-0.025-0.0900.014-0.103-0.046-0.034-0.2220.5390.0170.017-0.078-0.0850.019-0.005-0.0680.019-0.103-0.036-1.0001.0001.000-0.079-0.084-0.071-0.0181.0000.9890.7140.0901.0001.000-0.9991.0001.0001.0001.000
Total reactive power [var]1.000-0.999-0.9990.0080.022-0.763-0.078-0.0690.0600.0640.0580.062-0.999-0.069-0.009-0.022-0.0060.063-0.732-0.721-0.596-0.128-0.529-0.254-0.086-0.0020.0460.0550.0590.0650.0590.057-0.123-0.999-0.999-0.127-0.188-0.270-0.007-0.000-0.0030.0800.0850.0710.024-0.415-0.361-0.1520.0640.0790.0770.0790.0220.0740.0750.0850.0520.1030.1030.0630.0880.0080.064-0.0920.0420.1040.1820.150-0.132-0.157-0.157-0.999-0.999-0.074-0.199-0.178-0.207-0.0900.0200.072-0.0300.0160.0250.090-0.0130.1040.0450.0350.222-0.5380.0220.0220.0780.085-0.0180.0050.068-0.0190.1020.0361.000-0.999-0.9990.0780.0830.0700.017-0.999-0.989-0.714-0.091-0.999-0.9991.000-0.999-0.999-0.9991.000
Turbine ok hours [h]-1.0001.0001.000-0.0070.0160.7640.0810.069-0.061-0.065-0.059-0.0631.0000.0730.0100.0230.006-0.0620.7330.7220.5960.1300.5300.2540.0850.003-0.046-0.055-0.059-0.065-0.060-0.0570.1251.0001.0000.1240.1870.2700.0070.0000.003-0.081-0.086-0.072-0.0260.4150.3620.152-0.064-0.080-0.078-0.0800.022-0.076-0.076-0.086-0.054-0.103-0.104-0.064-0.090-0.008-0.0650.092-0.042-0.104-0.183-0.1510.1310.1560.1561.0001.0000.0740.1990.1780.2070.089-0.020-0.0720.030-0.016-0.025-0.0900.014-0.103-0.046-0.034-0.2220.5390.0160.016-0.078-0.0850.019-0.005-0.0680.019-0.103-0.036-1.0001.0001.000-0.079-0.084-0.071-0.0181.0000.9890.7140.0901.0001.000-0.9991.0001.0001.0001.000
Wind ok hours [h]-1.0001.0001.000-0.0070.0180.7640.0810.069-0.061-0.065-0.059-0.0631.0000.0730.0100.0230.006-0.0620.7330.7220.5960.1300.5300.2540.0850.003-0.046-0.055-0.059-0.065-0.059-0.0570.1251.0001.0000.1240.1870.2700.0070.0000.003-0.081-0.086-0.072-0.0260.4150.3620.152-0.064-0.080-0.078-0.0800.020-0.076-0.076-0.086-0.054-0.103-0.104-0.064-0.090-0.008-0.0650.092-0.042-0.104-0.183-0.1510.1310.1560.1561.0001.0000.0740.1990.1790.2070.089-0.020-0.0720.031-0.016-0.025-0.0900.014-0.103-0.046-0.034-0.2220.5390.0180.018-0.078-0.0850.019-0.005-0.0680.019-0.103-0.036-1.0001.0001.000-0.079-0.084-0.070-0.0181.0000.9890.7140.0901.0001.000-0.9991.0001.0001.0001.000
Yaw hours [h]-1.0001.0001.000-0.0070.0200.7640.0810.069-0.061-0.065-0.059-0.0631.0000.0730.0100.0230.006-0.0620.7330.7220.5960.1300.5300.2540.0850.003-0.046-0.055-0.059-0.065-0.060-0.0570.1251.0001.0000.1240.1870.2700.0070.0000.003-0.081-0.086-0.072-0.0250.4150.3620.152-0.064-0.080-0.078-0.0800.023-0.076-0.076-0.086-0.054-0.103-0.104-0.064-0.090-0.008-0.0640.092-0.042-0.104-0.183-0.1510.1310.1560.1561.0001.0000.0740.1990.1780.2070.089-0.020-0.0720.031-0.016-0.025-0.0900.014-0.103-0.046-0.034-0.2220.5390.0200.020-0.078-0.0850.019-0.005-0.0680.019-0.103-0.036-1.0001.0001.000-0.079-0.084-0.070-0.0181.0000.9890.7140.0901.0001.000-0.9991.0001.0001.0001.000
missing_data1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000

Missing values

2025-05-05T17:45:12.011575image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2025-05-05T17:45:12.767475image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2025-05-05T17:45:16.279625image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

TimestampGenerator RPM Max. [RPM]Generator RPM Min. [RPM]Generator RPM Avg. [RPM]Generator RPM StdDev [RPM]Generator Bearing Temp. Avg. [°C]Generator Phase1 Temp. Avg. [°C]Generator Phase2 Temp. Avg. [°C]Generator Phase3 Temp. Avg. [°C]Generator SlipRing Temp. Avg. [°C]Generator Bearing2 Temp. Avg. [°C]Generator CoolingWater Temp. Avg. [°C]Hydraulic Oil Temp. Avg. [°C]Gear Oil Temp. Avg. [°C]Gear Bearing Temp. Avg. [°C]Gear Oil TemperatureBasis Avg. [°C]Gear Oil TemperatureLevel1 Avg. [°C]Gear Oil TemperatureLevel2_3 Avg. [°C]Gear Bearing TemperatureHSRotorEnd Avg. [°C]Gear Bearing TemperatureHSGeneratorEnd Avg. [°C]Gear Bearing TemperatureHSMiddle Avg. [°C]Gear Bearing TemperatureHollowShaftRotor Avg. [°C]Gear Bearing TemperatureHollowShaftGenerator Avg. [°C]Nacelle Temp. Avg. [°C]Avg. direction [°]Rotor RPM Max. [RPM]Rotor RPM Min. [RPM]Rotor RPM Avg. [RPM]Rotor RPM StdDev [RPM]Ambient WindSpeed Max. [m/s]Ambient WindSpeed Min. [m/s]Ambient WindSpeed Avg. [m/s]Ambient WindSpeed StdDev [m/s]Ambient WindDir Relative Avg. [°]Ambient WindDir Absolute Avg. [°]Ambient Temp. Avg. [°C]Ambient WindSpeed Estimated Avg. [m/s]Grid InverterPhase1 Temp. Avg. [°C]Grid RotorInvPhase1 Temp. Avg. [°C]Grid RotorInvPhase2 Temp. Avg. [°C]Grid RotorInvPhase3 Temp. Avg. [°C]Grid Production Power Avg. [W]Grid Production CosPhi Avg.Grid Production Frequency Avg. [Hz]Grid Production VoltagePhase1 Avg. [V]Grid Production VoltagePhase2 Avg. [V]Grid Production VoltagePhase3 Avg. [V]Grid Production CurrentPhase1 Avg. [A]Grid Production CurrentPhase2 Avg. [A]Grid Production CurrentPhase3 Avg. [A]Grid Production Power Max. [W]Grid Production Power Min. [W]Grid Busbar Temp. Avg. [°C]Grid Production Power StdDev [W]Grid Production ReactivePower Avg. [W]Grid Production ReactivePower Max. [W]Grid Production ReactivePower Min. [W]Grid Production ReactivePower StdDev [W]Grid Production PossiblePower Avg. [W]Grid Production PossiblePower Max. [W]Grid Production PossiblePower Min. [W]Grid Production PossiblePower StdDev [W]Grid Production PossibleInductive Avg. [var]Grid Production PossibleInductive Max. [var]Grid Production PossibleInductive Min. [var]Grid Production PossibleInductive StdDev [var]Grid Production PossibleCapacitive Avg. [var]Grid Production PossibleCapacitive Max. [var]Grid Production PossibleCapacitive Min. [var]Grid Production PossibleCapacitive StdDev [var]Active power limit [W]Active power limit sourceReactive power set point [var]Power factor set pointPower factor set point sourceController Ground Temp. Avg. [°C]Controller Top Temp. Avg. [°C]Controller Hub Temp. Avg. [°C]Controller VCP Temp. Avg. [°C]Controller VCP ChokecoilTemp. Avg. [°C]Controller VCP WaterTemp. Avg. [°C]Spinner Temp. Avg. [°C]Spinner Temp. SlipRing Avg. [°C]Blades PitchAngle Min. [°]Blades PitchAngle Max. [°]Blades PitchAngle Avg. [°]Blades PitchAngle StdDev [°]HVTrafo Phase1 Temp. Avg. [°C]HVTrafo Phase2 Temp. Avg. [°C]HVTrafo Phase3 Temp. Avg. [°C]HVTrafo AirOutlet Temp. Avg. [°C]HourCounters Average Total Avg. [h]HourCounters Average GridOn Avg. [h]HourCounters Average GridOk Avg. [h]HourCounters Average TurbineOk Avg. [h]HourCounters Average Run Avg. [h]HourCounters Average Gen1 Avg. [h]HourCounters Average Gen2 Avg. [h]HourCounters Average Yaw Avg. [h]HourCounters Average ServiceOn Avg. [h]HourCounters Average AmbientOk Avg. [h]HourCounters Average WindOk Avg. [h]HourCounters Average AlarmActive Avg. [h]Total hour counter [h]Grid on hours [h]Grid ok hours [h]Turbine ok hours [h]Run hours [h]Generator 1 hours [h]Generator 2 hours [h]Yaw hours [h]Service hours [h]Ambient ok hours [h]Wind ok hours [h]Production LatestAverage Active Power Gen 0 Avg. [W]Production LatestAverage Active Power Gen 1 Avg. [W]Production LatestAverage Active Power Gen 2 Avg. [W]Production LatestAverage Total Active Power Avg. [W]Production LatestAverage Reactive Power Gen 0 Avg. [var]Production LatestAverage Reactive Power Gen 1 Avg. [var]Production LatestAverage Reactive Power Gen 2 Avg. [var]Production LatestAverage Total Reactive Power Avg. [var]Active power generator 0, Total accumulated [W]Active power generator 1, Total accumulated [W]Active power generator 2, Total accumulated [W]Total Active power [W]Reactive power generator 0,Total accumulated [var]Reactive power generator 1, Total accumulated [var]Reactive power generator 2, Total accumulated [var]Total reactive power [var]System Logs First Active Alarm NoFirst Alarm parameter 1 in 10 min frameFirst Alarm parameter 2 in 10 min framemissing_data
02020-01-01 00:00:001059.01042.01049.03.031.038.039.038.027.039.029.049.0999.0999.055.049.00.056.056.056.066.064.025.01.610.19.910.00.06.33.24.50.4-4.7356.98.00.033.033.032.031.0145.21.050.0568.1567.7563.880.582.890.8196.5104.527.019.70.00.2-0.40.0144.0197.0104.019.00.00.00.00.00.00.00.00.03000.011.00.01.011.016.026.015.032.070.030.09.0999.0-0.7-2.5-1.30.333.037.034.047.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0110887200.0101909920.098707256.098095336.094121088.037331760.037903224.03855097.03047140.097670432.071008496.00.00.024129.024129.00.00.00.00.0-76907.018241148.02546332.020710574.019129.0352.03655.023137.00.00.00.0False
12020-01-01 00:10:001058.01041.01049.02.031.037.038.038.024.039.028.050.0999.0999.055.049.00.056.055.055.066.064.024.01.610.19.910.00.06.43.24.30.4-3.5358.17.00.032.032.031.031.0105.61.050.0568.3567.9564.057.158.968.0163.857.727.022.60.00.2-0.40.0105.0164.057.022.00.00.00.00.00.00.00.00.03000.011.00.01.011.016.026.015.032.070.029.09.0999.0-0.4-1.9-1.00.233.037.034.041.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0110887200.0101910520.098707856.098095936.094121688.037331760.037903824.03855097.03047140.097671032.071009096.00.00.017653.017653.00.00.00.00.0-76907.018241148.02546350.020710592.019129.0352.03655.023137.00.00.00.0False
22020-01-01 00:20:001062.01040.01050.03.031.037.038.038.022.039.028.050.0999.0999.055.049.00.055.055.055.066.064.024.01.610.29.910.00.06.43.54.70.5-3.3358.36.00.033.033.031.031.0156.91.050.0569.1569.0565.187.289.197.7222.182.127.041.40.00.2-0.40.0156.0222.081.041.00.00.00.00.00.00.00.00.03000.011.00.01.011.016.026.015.033.069.029.08.0999.0-0.8-2.6-1.60.533.037.034.037.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0110890800.0101911120.098708456.098096536.094122288.037331760.037904424.03855097.03047140.097671632.071009696.00.00.026078.026078.00.00.00.00.0-76907.018241148.02546376.020710618.019129.0352.03655.023137.00.00.00.0False
32020-01-01 00:30:001062.01041.01049.03.030.037.038.038.021.039.029.051.0999.0999.055.049.00.056.055.055.066.064.024.01.610.19.910.00.06.53.64.70.4-5.6356.06.00.033.033.032.031.0154.91.050.0569.2568.7565.085.888.096.5205.4100.027.024.60.00.2-0.40.0154.0206.099.024.00.00.00.00.00.00.00.00.03000.011.00.01.011.016.026.015.033.070.030.08.0999.0-0.9-2.6-1.50.333.037.034.037.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0110890800.0101911720.098709056.098097136.094122888.037331760.037905024.03855097.03047140.097672232.071010296.00.00.025765.025765.00.00.00.00.0-76907.018241148.02546402.020710644.019129.0352.03655.023137.00.00.00.0False
42020-01-01 00:40:001120.01040.01051.08.030.037.038.038.021.039.028.051.0999.0999.055.049.00.056.055.055.066.064.024.01.610.79.910.00.06.73.54.90.5-2.4359.26.00.033.032.031.030.0172.31.050.0570.1569.8566.095.898.4106.5268.9115.226.027.70.00.2-0.40.0172.0275.0114.028.00.00.00.00.00.00.00.00.03000.011.00.01.011.016.026.015.033.070.029.08.0999.0-1.1-2.8-1.80.433.037.034.036.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0110890800.0101912320.098709656.098097736.094123488.037331760.037905624.03855097.03047140.097672832.071010896.00.00.028483.028483.00.00.00.00.0-76907.018241148.02546430.020710672.019129.0352.03655.023137.00.00.00.0False
52020-01-01 00:50:001142.01041.01053.013.030.037.038.038.021.039.029.051.0999.0999.055.049.00.056.055.055.066.064.024.01.610.99.910.00.16.93.84.90.5-5.8355.86.00.034.034.032.032.0184.31.050.0571.2570.7567.0102.6105.5113.1302.1120.926.038.80.00.2-0.40.0183.0303.0120.038.00.00.00.00.00.00.00.00.03000.011.00.01.011.016.025.014.033.070.030.08.0999.0-1.0-2.8-1.80.432.037.034.036.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0110890800.0101912920.098710256.098098336.094124088.037331760.037906224.03855097.03047140.097673432.071011496.00.00.031070.031070.00.00.00.00.0-76907.018241148.02546461.020710704.019129.0352.03655.023137.00.00.00.0False
62020-01-01 01:00:001105.01042.01052.07.030.037.038.038.023.039.028.051.0999.0999.055.049.00.056.055.055.065.064.023.01.610.69.910.00.07.03.24.70.6-5.2356.46.00.032.032.031.030.0168.51.050.0571.4570.9567.393.495.7103.9284.667.426.058.80.00.2-0.40.0168.0285.067.058.00.00.00.00.00.00.00.00.03000.011.00.01.011.016.025.014.032.070.029.08.0999.0-0.6-2.8-1.60.632.036.034.040.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0110890800.0101913520.098710856.098098936.094124688.037331760.037906824.03855097.03047140.097674032.071012096.00.00.027906.027906.00.00.00.00.0-76907.018241148.02546489.020710732.019129.0352.03655.023137.00.00.00.0False
72020-01-01 01:10:001075.01037.01050.04.030.037.038.038.026.038.029.052.0999.0999.055.049.00.057.056.055.065.064.024.081.010.39.910.00.06.73.54.90.4-8.5351.27.00.034.034.032.031.0183.31.050.0570.6570.1566.7102.3104.8112.3250.7131.626.021.50.00.7-0.40.0182.0252.0130.021.00.00.00.00.00.00.00.00.03000.011.00.01.011.015.025.014.032.070.030.09.0999.0-1.2-2.6-1.80.332.037.034.045.0600.0600.0600.0600.0600.00.0600.019.00.0600.0600.00.0110890800.0101914120.098711456.098099536.094125288.037331760.037907424.03855116.03047140.097674632.071012696.00.00.030425.030425.00.00.00.00.0-76907.018241148.02546519.020710760.019129.0352.03655.023137.00.00.00.0False
82020-01-01 01:20:001184.01039.01076.029.030.038.039.038.027.038.028.052.0999.0999.055.049.00.057.056.055.065.064.025.0352.811.39.910.20.27.44.35.50.5-3.7349.27.00.034.033.032.031.0267.41.050.0571.9571.3567.9151.0154.1161.0387.9189.026.037.60.00.2-0.40.0266.0385.0188.037.00.00.00.00.00.00.00.00.03000.011.00.01.011.015.025.014.031.070.029.09.0999.0-1.8-2.8-2.40.233.037.034.046.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0110894400.0101914720.098712056.098100136.094125888.037331760.037908024.03855116.03047140.097675232.071013296.00.00.044283.044283.00.00.00.00.0-76907.018241148.02546564.020710806.019129.0352.03655.023137.00.00.00.0False
92020-01-01 01:30:001218.01044.01106.049.031.038.039.039.027.039.028.053.0999.0999.056.049.00.058.056.056.065.064.025.0352.811.610.010.50.47.63.85.70.5-6.9346.07.00.034.033.032.031.0289.91.050.0572.8572.3569.0163.9166.9174.1438.1112.626.049.30.00.2-0.40.0289.0436.0109.049.00.00.00.00.00.00.00.00.03000.011.00.01.011.015.026.015.031.070.029.09.0999.0-2.0-2.8-2.50.133.037.034.045.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0110894400.0101915320.098712656.098100736.094126488.037331760.037908624.03855116.03047140.097675832.071013896.00.00.048144.048144.00.00.00.00.0-76907.018241148.02546612.020710854.019129.0352.03655.023137.00.00.00.0False
TimestampGenerator RPM Max. [RPM]Generator RPM Min. [RPM]Generator RPM Avg. [RPM]Generator RPM StdDev [RPM]Generator Bearing Temp. Avg. [°C]Generator Phase1 Temp. Avg. [°C]Generator Phase2 Temp. Avg. [°C]Generator Phase3 Temp. Avg. [°C]Generator SlipRing Temp. Avg. [°C]Generator Bearing2 Temp. Avg. [°C]Generator CoolingWater Temp. Avg. [°C]Hydraulic Oil Temp. Avg. [°C]Gear Oil Temp. Avg. [°C]Gear Bearing Temp. Avg. [°C]Gear Oil TemperatureBasis Avg. [°C]Gear Oil TemperatureLevel1 Avg. [°C]Gear Oil TemperatureLevel2_3 Avg. [°C]Gear Bearing TemperatureHSRotorEnd Avg. [°C]Gear Bearing TemperatureHSGeneratorEnd Avg. [°C]Gear Bearing TemperatureHSMiddle Avg. [°C]Gear Bearing TemperatureHollowShaftRotor Avg. [°C]Gear Bearing TemperatureHollowShaftGenerator Avg. [°C]Nacelle Temp. Avg. [°C]Avg. direction [°]Rotor RPM Max. [RPM]Rotor RPM Min. [RPM]Rotor RPM Avg. [RPM]Rotor RPM StdDev [RPM]Ambient WindSpeed Max. [m/s]Ambient WindSpeed Min. [m/s]Ambient WindSpeed Avg. [m/s]Ambient WindSpeed StdDev [m/s]Ambient WindDir Relative Avg. [°]Ambient WindDir Absolute Avg. [°]Ambient Temp. Avg. [°C]Ambient WindSpeed Estimated Avg. [m/s]Grid InverterPhase1 Temp. Avg. [°C]Grid RotorInvPhase1 Temp. Avg. [°C]Grid RotorInvPhase2 Temp. Avg. [°C]Grid RotorInvPhase3 Temp. Avg. [°C]Grid Production Power Avg. [W]Grid Production CosPhi Avg.Grid Production Frequency Avg. [Hz]Grid Production VoltagePhase1 Avg. [V]Grid Production VoltagePhase2 Avg. [V]Grid Production VoltagePhase3 Avg. [V]Grid Production CurrentPhase1 Avg. [A]Grid Production CurrentPhase2 Avg. [A]Grid Production CurrentPhase3 Avg. [A]Grid Production Power Max. [W]Grid Production Power Min. [W]Grid Busbar Temp. Avg. [°C]Grid Production Power StdDev [W]Grid Production ReactivePower Avg. [W]Grid Production ReactivePower Max. [W]Grid Production ReactivePower Min. [W]Grid Production ReactivePower StdDev [W]Grid Production PossiblePower Avg. [W]Grid Production PossiblePower Max. [W]Grid Production PossiblePower Min. [W]Grid Production PossiblePower StdDev [W]Grid Production PossibleInductive Avg. [var]Grid Production PossibleInductive Max. [var]Grid Production PossibleInductive Min. [var]Grid Production PossibleInductive StdDev [var]Grid Production PossibleCapacitive Avg. [var]Grid Production PossibleCapacitive Max. [var]Grid Production PossibleCapacitive Min. [var]Grid Production PossibleCapacitive StdDev [var]Active power limit [W]Active power limit sourceReactive power set point [var]Power factor set pointPower factor set point sourceController Ground Temp. Avg. [°C]Controller Top Temp. Avg. [°C]Controller Hub Temp. Avg. [°C]Controller VCP Temp. Avg. [°C]Controller VCP ChokecoilTemp. Avg. [°C]Controller VCP WaterTemp. Avg. [°C]Spinner Temp. Avg. [°C]Spinner Temp. SlipRing Avg. [°C]Blades PitchAngle Min. [°]Blades PitchAngle Max. [°]Blades PitchAngle Avg. [°]Blades PitchAngle StdDev [°]HVTrafo Phase1 Temp. Avg. [°C]HVTrafo Phase2 Temp. Avg. [°C]HVTrafo Phase3 Temp. Avg. [°C]HVTrafo AirOutlet Temp. Avg. [°C]HourCounters Average Total Avg. [h]HourCounters Average GridOn Avg. [h]HourCounters Average GridOk Avg. [h]HourCounters Average TurbineOk Avg. [h]HourCounters Average Run Avg. [h]HourCounters Average Gen1 Avg. [h]HourCounters Average Gen2 Avg. [h]HourCounters Average Yaw Avg. [h]HourCounters Average ServiceOn Avg. [h]HourCounters Average AmbientOk Avg. [h]HourCounters Average WindOk Avg. [h]HourCounters Average AlarmActive Avg. [h]Total hour counter [h]Grid on hours [h]Grid ok hours [h]Turbine ok hours [h]Run hours [h]Generator 1 hours [h]Generator 2 hours [h]Yaw hours [h]Service hours [h]Ambient ok hours [h]Wind ok hours [h]Production LatestAverage Active Power Gen 0 Avg. [W]Production LatestAverage Active Power Gen 1 Avg. [W]Production LatestAverage Active Power Gen 2 Avg. [W]Production LatestAverage Total Active Power Avg. [W]Production LatestAverage Reactive Power Gen 0 Avg. [var]Production LatestAverage Reactive Power Gen 1 Avg. [var]Production LatestAverage Reactive Power Gen 2 Avg. [var]Production LatestAverage Total Reactive Power Avg. [var]Active power generator 0, Total accumulated [W]Active power generator 1, Total accumulated [W]Active power generator 2, Total accumulated [W]Total Active power [W]Reactive power generator 0,Total accumulated [var]Reactive power generator 1, Total accumulated [var]Reactive power generator 2, Total accumulated [var]Total reactive power [var]System Logs First Active Alarm NoFirst Alarm parameter 1 in 10 min frameFirst Alarm parameter 2 in 10 min framemissing_data
261982020-06-30 22:20:001504.01369.01437.028.064.049.050.050.034.048.038.046.0999.0999.060.049.00.065.063.060.068.067.035.0351.814.413.113.70.29.46.07.50.40.3352.124.00.039.042.040.040.0587.71.050.0571.6570.8567.9336.4342.6347.9710.0450.837.048.00.00.2-0.10.0587.0715.0450.048.00.00.00.00.00.00.00.00.03000.011.00.01.011.036.037.033.046.085.039.027.0999.0-2.4-2.8-2.50.042.045.044.046.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0126608400.0117629640.0114365640.0113603856.0109459528.043761144.044303112.04464407.03107214.0113175520.082757688.00.00.097623.097623.00.00.00.00.0-86231.021239132.03000975.024153876.011746.0412.04110.016269.00.00.00.0False
261992020-06-30 22:30:001491.01323.01393.034.065.050.051.050.034.049.038.046.0999.0999.061.049.00.065.063.061.068.067.035.0351.814.212.613.30.38.75.77.30.41.1352.924.00.040.043.041.040.0542.21.050.0573.3572.4569.5308.7315.5320.3708.4422.738.052.60.00.1-0.10.0541.0705.0421.053.00.00.00.00.00.00.00.00.03000.011.00.01.011.036.037.033.046.085.040.027.0999.0-2.3-2.8-2.50.042.046.044.046.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0126608400.0117630240.0114366240.0113604456.0109460128.043761144.044303712.04464407.03107214.0113176120.082758288.00.00.091102.091102.00.00.00.00.0-86231.021239132.03001066.024153966.011746.0412.04110.016269.00.00.00.0False
262002020-06-30 22:40:001404.01298.01349.020.065.050.051.050.034.049.038.046.0999.0999.060.049.00.064.063.060.068.067.035.0351.813.412.412.80.18.46.07.10.40.9352.724.00.041.042.040.040.0500.51.050.0574.1573.3570.3284.0290.9295.5608.0386.838.033.90.00.1-0.10.0500.0610.0384.034.00.00.00.00.00.00.00.00.03000.011.00.01.011.035.037.033.046.084.040.027.0999.0-2.3-2.8-2.50.042.046.044.046.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0126608400.0117630840.0114366840.0113605056.0109460728.043761144.044304312.04464407.03107214.0113176720.082758888.00.00.083224.083224.00.00.00.00.0-86231.021239132.03001149.024154048.011746.0412.04110.016269.00.00.00.0False
262012020-06-30 22:50:001387.01140.01313.036.064.050.051.050.034.050.038.046.0999.0999.060.049.00.064.062.060.068.066.035.0351.813.310.912.50.38.43.76.90.4-0.1351.724.00.041.042.040.040.0467.91.050.0574.4573.5569.8264.5271.2277.5566.5296.238.044.40.00.1-0.10.0467.0566.0297.044.00.00.00.00.00.00.00.00.03000.011.00.01.011.035.037.032.046.084.040.027.0999.0-1.5-2.8-2.50.142.046.044.046.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0126608400.0117631440.0114367440.0113605656.0109461328.043761144.044304912.04464407.03107214.0113177320.082759488.00.00.078175.078175.00.00.00.00.0-86231.021239132.03001227.024154128.011746.0412.04110.016269.00.00.00.0False
262022020-06-30 23:00:001411.01290.01346.024.064.050.051.050.034.050.038.045.0999.0999.059.049.00.064.062.060.068.066.035.0357.213.512.312.80.28.35.67.00.4-0.2357.024.00.040.042.040.040.0498.11.050.0575.3573.9570.4281.4288.7295.0603.0374.638.035.60.00.6-0.60.0497.0604.0372.036.00.00.00.00.00.00.00.00.03000.011.00.01.011.034.037.032.046.084.040.027.0999.0-2.3-2.8-2.50.042.046.044.046.0600.0600.0600.0600.0600.00.0600.014.00.0600.0600.00.0126608400.0117632040.0114368040.0113606256.0109461928.043761144.044305512.04464421.03107214.0113177920.082760088.00.00.083127.083127.00.00.00.00.0-86231.021239132.03001312.024154212.011746.0412.04110.016269.00.00.00.0False
262032020-06-30 23:10:001400.01190.01316.043.064.050.051.050.034.050.038.045.0999.0999.060.049.00.063.062.060.068.066.035.0358.813.411.412.50.48.55.46.90.42.31.123.00.041.042.040.039.0466.01.050.0575.8574.5570.9262.3269.6276.2596.9325.737.049.70.00.1-0.20.0465.0599.0324.050.00.00.00.00.00.00.00.00.03000.011.00.01.011.034.037.032.046.084.039.027.0999.0-2.3-2.8-2.50.043.046.045.046.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0126608400.0117632640.0114368640.0113606856.0109462528.043761144.044306112.04464421.03107214.0113178520.082760688.00.00.078468.078468.00.00.00.00.0-86231.021239132.03001389.024154288.011746.0412.04110.016269.00.00.00.0False
262042020-06-30 23:20:001285.01150.01200.028.062.049.050.050.034.050.038.045.0999.0999.059.049.00.062.061.059.067.065.035.0358.812.311.011.40.27.85.16.30.4-0.8358.023.00.041.042.040.039.0361.71.050.0575.4573.6570.2202.7208.5216.3462.2247.537.034.80.00.0-0.10.0361.0463.0246.035.00.00.00.00.00.00.00.00.03000.011.00.01.011.034.037.032.046.085.039.026.0999.0-2.3-2.8-2.50.043.046.045.046.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0126612000.0117633240.0114369240.0113607456.0109463128.043761144.044306712.04464421.03107214.0113179120.082761288.00.00.060567.060567.00.00.00.00.0-86231.021239132.03001450.024154348.011746.0412.04110.016269.00.00.00.0False
262052020-06-30 23:30:001229.01056.01149.034.060.049.050.050.034.049.038.045.0999.0999.058.049.00.061.060.058.066.065.035.0358.811.710.110.90.37.54.96.00.4-1.2357.623.00.042.041.039.039.0324.71.050.0574.2571.8568.6181.3187.7195.4438.6209.837.037.30.00.1-0.10.0324.0440.0209.037.00.00.00.00.00.00.00.00.03000.011.00.01.011.033.037.032.046.085.039.026.0999.0-2.3-2.8-2.50.143.046.045.046.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0126612000.0117633840.0114369840.0113608056.0109463728.043761144.044307312.04464421.03107214.0113179720.082761888.00.00.054298.054298.00.00.00.00.0-86231.021239132.03001504.024154404.011746.0412.04110.016269.00.00.00.0False
262062020-06-30 23:40:001176.01053.01113.025.057.048.049.049.034.049.038.045.0999.0999.057.049.00.060.059.058.066.065.035.0358.811.210.010.60.27.14.85.80.40.9359.724.00.042.041.039.039.0289.51.050.0572.5570.1567.0161.2167.6175.3360.0183.037.030.10.00.1-0.10.0289.0363.0185.030.00.00.00.00.00.00.00.00.03000.011.00.01.011.033.037.032.046.086.039.026.0999.0-2.3-2.8-2.50.143.046.045.046.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0126612000.0117634440.0114370440.0113608656.0109464328.043761144.044307912.04464421.03107214.0113180320.082762488.00.00.048459.048459.00.00.00.00.0-86231.021239132.03001552.024154452.011746.0412.04110.016269.00.00.00.0False
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